Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Name: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery | Volume 1
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Volume 1

Yong Liu Lipo Wang Liang Zhao Zhengtao Yu(Editor)

Springer (Publisher)

1st Edition

Published on 6. November 2019

XXIV, 1004 pages

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978-3-030-32456-8 (ISBN)

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Content

Intro
Preface
Organization
Organizing Committee
General Chairs
Program Chairs
Organizing Chairs
Finance Chair
Publication Chairs
Publicity Chairs
Program Committee
Reviewers
Contents
Natural Computation: Theory and Algorithms - Deep Learning and Feedforward Neural Networks
Optimizing Convolutional Neural Network Architecture Using a Self-adaptive Harmony Search Algorithm
Abstract
1 Introduction
2 System Overviews
3 Phase-1 Process
3.1 Phase-1 Algorithm
3.2 Generating CNN Candidates Using the HM1 Mechanism
3.3 Building a CNN Derived from Vgg16
4 Phase-2 Process
4.1 Phase-2 Algorithm
4.2 Generating a Fine-Tuned CNN Using the HM2 Mechanism
4.3 Building an Optimized CNN
5 Experiments
5.1 Experimental Environments
5.2 Experimental Results
6 Conclusions
References
Global Features of Fused Frame Relationships Help Video Classification
1 Introduction
2 Related Work
3 Global Feature Module
3.1 Inter-frame Relation
3.2 Global Feature Fusion
4 Experiments
4.1 Dataset and Implementation Details
4.2 Improving ECO-full Baseline
5 Conclusion
References
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images
1 Introduction
2 Methods Comparison
2.1 FCN
2.2 U-Net
2.3 SegNet
2.4 DeepLab
2.5 PSPNet
3 Experiments and Results
3.1 Datasets
3.2 Experimental Results
4 On-Orbit Semantic Segmentation Strategy for TianZhi-2
5 Conclusions
References
Att-ConvLSTM: PM2.5 Prediction Model and Application
Abstract
1 Introduction
2 Data and Methods
2.1 Data Description
2.2 ConvLSTM
2.3 Spatiotemporal Attention Mechanism
2.4 e-Insensitive Loss Function
3 Development of Att-ConvLSTM Model
4 Result and Analysis
4.1 Time Series Prediction
4.2 Comparison of Attention Mechanisms Models
4.3 Application Experiment of the Model
5 Conclusion
References
SAR Ship Detection Method Based on Convolutional Neural Network and Multi-layer Feature Fusion
Abstract
1 Introduction
2 Method
2.1 Base Network
2.2 Feature Fusion
2.3 Output Network
2.4 Training
3 Experiment Results and Analysis
3.1 Sentinel-1A Dataset and Performance Evaluation Metrics
3.2 Fusion Feature Comparison
3.3 Different Base Network
3.4 Comparison with Other Methods
4 Conclusion
References
Deep Learning Training Management Platform Based on Distributed Technologies in Resource-Constrained Scenarios
1 Introduction
2 Platform Architecture
2.1 Distributed Cluster Management Layer
2.2 Deep Learning Management Layer
2.3 Visual Interaction Layer
3 Core Algorithms
3.1 Multi-task Scheduling Algorithm
3.2 Allocation Algorithm
3.3 Fault-Tolerant Algorithm
4 Conclusion
References
A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition
1 Introduction
2 Related Works
3 The NE-Reasoner Model
3.1 Overall Architecture
3.2 Encoder and Decoder
3.3 Candidate Pool
3.4 Reasoner and the Next Layer
4 Experimental Results
4.1 Dateset and Parameters Setting
4.2 Result
4.3 Analysis
5 Conclusions and Future Work
References
Multi-level Feature Combination in Dialogue State Tracking
1 Introduction
2 Related Works
3 Model Framework
3.1 Memory-Network Module
3.2 Bi-LSTM+Self-attention Module
3.3 Score-Module
4 Experiments
4.1 Data Set
4.2 The Implementation of Model Framework
4.3 Comparison of Experimental Results
4.4 Analysis
5 Summary
References
Unmanned Aerial Vehicles Path Planning Based on Deep Reinforcement Learning
1 Introduction
2 Problem Formulation
3 Approach
4 Experiments
5 Conclusion
References
Apple Freshness Recognition Technology Based on Gas Sensors
Abstract
1 Introduction
2 Apple Freshness Detection Technology
2.1 Dielectric Property Freshness Detection
2.2 Sensory Quality Evaluation
2.3 Odor Recognition
3 Information Collection System
3.1 Experimental Devices and Processes
3.2 Data Processing
4 Freshness Evaluation
4.1 Fuzzy Comprehensive Evaluation Scheme for Sensory Quality of Apple
4.2 Establishment of Factor Sets, Comment Sets, and Weighted Sets
4.3 Results and Analysis
4.4 Gas Freshness Identification
5 Conclusion and Future Work
References
A Review of the Theory and Method for New Developed Feedforward Neural Networks
1 Introduction
2 Algebraic Algorithm of Feedforward Neural Networks
2.1 Network Structure
2.2 Basic Theories and Algorithms
2.3 Time Complexity of Algebraic Algorithm
3 Weight Function Neural Network Theories and Methods
3.1 Network Structure
3.2 Basic Theories and Algorithms
3.3 Error Analysis
3.4 Computational Complexity
4 Summary and Prospect
References
Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles
1 Introduction
2 Awareness in Negative Correlation Learning
3 Relations Between Diversity and Cooperations
3.1 Descriptions of Experimental Setup
3.2 Results of NCLA on the Card Data
4 Conclusions
References
Natural Computation: Theory and Algorithms - Genetic and Evolutionary Algorithms
A Model and an Algorithm for Empty Car Distribution in Railway Transportation
1 Introduction
2 Fuzzy Empty Car Distribution Problem
2.1 Some Symbols
2.2 Car Distribution Model
2.3 Equivalent Crisp Model
3 Design of GA
3.1 The First Stage
3.2 The Second Stage
3.3 Global Algorithm Procedure
4 Numerical Example
5 Conclusions
References
Levelized Cost of Energy Optimization Method for the Dish Solar Thermal Power Generation System
Abstract
1 Introduction
2 Mathematical Model of Dish-Stirling Optical Thermal Power Generation System
2.1 Capacity Modeling of Dish-Stirling Optical Thermal Power Generation System
2.2 Generation Cost Modeling of Dish-Stirling Optical Thermal Power Generation System
3 Optimization Algorithms
4 Simulation and Analysis
4.1 Model Parameter
4.2 Impact of Generation Capacity on LCOE
4.3 Effect of Different Heat Storage Fluids on LCOE
4.4 Effect of Different Heat Storage Time on LCOE
5 Conclusion
Acknowledgment
References
A Novel Ant Colony Optimization Algorithm with Dynamic Control Population for Community Detecting
1 Introduction
2 Related Work
2.1 Community Mining
2.2 Optimization Algorithms of Ant Colony Algorithms for Community Mining
3 Dynamic Population Control for Ant Colony Optimization
3.1 The Rule Trigging the Delete Operation
3.2 Deleting Rule
4 Experiments
4.1 Datasets
4.2 Experiment Results
5 Conclusion
References
A Hybrid Bat Algorithm Based on Combined Semantic Measures for Word Sense Disambiguation
1 Introduction
2 Proposed Method
3 Experimental Results
4 Conclusion
References
A Multi-objective Optimization Algorithm Based on Monarch Butterfly Optimization
Abstract
1 Introduction
2 Monarch Butterfly Optimization
3 The Hybrid Multi-objective MBO
3.1 The New Migration Operator
3.2 The Combination with Operations in NSGA-II
4 Experiments
4.1 Comparisons with Basic Algorithms
4.2 Comparisons with Other Algorithms
5 Conclusion
Acknowledgement
References
An Improved Quantum Genetic Algorithm Based on Population Partition and Dynamic Probability Amplitude
Abstract
1 Introduction
2 Quantum Genetic Algorithm (QGA)
3 Dynamic Inverse Probability Amplitude
4 Bidirectional Decoding Operator
5 Population Partition Strategy
6 Quantum Variation
7 Algorithm Description
8 Experimental Design and Results
9 Analysis of Results
10 Conclusion
References
Natural Computation: Theory and Algorithms - Nonlinear Phenomena, Chaos, Complex Networks and Systems
Sink Location Privacy Protection Algorithm Based on Tangential Path in WSN
Abstract
1 Introduction
1.1 Attacker Model
1.2 Concept Definition
2 ABTP Algorithm
2.1 ABTP Algorithm Description
2.2 Algorithm Proceeding
3 Theoretical Analysis of Selecting Fake Sinks
4 Simulation Experiment
4.1 Transmission Delay
4.2 Protection Strength
4.3 Communication Overhead
5 Concluding Remarks
References
Study on the Energy Dissipation of Two Lane Traffic Flow with Lane Reduction
Abstract
1 Introduction
2 Model of Reduced Lane and Energy Dissipation
3 Simulation and Analysis
3.1 Influence of the Length of the Reduced Lane on the Road Capacity in the Periodic Boundary Condition
3.2 Influence of the Length of the Reduced Lane and the Maximum Speed and the Vehicle Length on the Energy Dissipation in the Periodic Boundary Condition
3.3 Influence of the Injection Rate s and ß on the Energy Dissipation in the Periodic Boundary Condition
4 Summary and Conclusion
Acknowledgment
References
Chaos and Quasi-period in Erbium-Doped Fiber Laser
Abstract
1 Introduction
2 Dynamical Model
3 Result and Discussion
3.1 A Path to Chaos via Varying the Modulation Depths
3.2 Another Path to Chaos via Varying the Modulation Frequencies
3.3 Effect of Er-Doped Concentration on the Dynamics
4 Conclusion
References
Global Stability for a Coupled System of Fractional-Order Differential Equations with Discontinuous Terms on Network
1 Introduction
2 Main Results
2.1 The Existence Conditions of the Equilibrium for System (2)
2.2 The Stability Analysis of the Equilibrium for System (2)
3 Conclusions and Outlooks
References
Optimal Identification of Multiple Diffusion Sources in Complex Networks with Partial Observations
1 Introduction
2 Model and Method
2.1 Problem Formulation
2.2 Multiple Sources Localization
3 Experiments and Analysis
3.1 Source Localization in Synthetic Networks
3.2 Source Localization in Real Networks
4 Discussions
4.1 Strategies for Observers Placements
4.2 Uncertainty of Diffusion Delay Along Edges
5 Conclusion
References
Exact Solutions for (2+1)-Dimensional Nonlinear Schrödinger Schrodinger Equation Based on Modified Extended tanh Method
1 Introduction
2 The tanh Method
3 Exact Travelling Wave Solutions of of (2+1)-Dimensional Nonlinear Schrödinger (NLS) Equation
4 Image Simulation
5 Conclusion
References
Natural Computation: Theory and Algorithms - Other Topics in Natural Computation Theory and Algorithms
Extraction of Basic-Level Categories Using Dendrogram and Multidendrogram
1 Introduction
2 Approach
3 Simulations
3.1 Results and Discussion
3.2 Comparison Between 3 Predefined Levels and Dendrogram
3.3 Comparison Between 3 Predefined Levels and Multidendrogram
3.4 Comparison Between Dendrogram and Multidendrogram
4 Conclusions
References
Compressed Sensing of Complex Reflections Using Range-Azimuth Dictionary in a Bionic Sonar System
Abstract
1 Introduction
2 Sparse Representation and Interpretation of the Echoes
2.1 Range-Azimuth Dictionary
2.2 Parameter Estimation of the Targets
3 Measurements and Processing
3.1 Dictionary Construction
3.2 Non-uniform Sampling of the RAD
3.3 Wall Surface Echo Processing and Analysis
4 Conclusion
References
Relationships Between Dilemma Strength and Fixation Properties in Coevolutionary Games
1 Introduction
2 Game Description
2.1 Coevolutionary Games, Payoff Matrices and Scaling for the Dilemma Strength
2.2 Fixation Properties, Configurations and Structure Coefficients
3 Numerical Results and Discussion
4 Conclusions
References
Future Linear Matrix Equation of Generalized Sylvester Type Solved by Zeroing Neural Dynamics and 5-Instant ZeaD Formula
1 Introduction
2 Problem Formulation and CTZD Model
2.1 Problem Formulation
2.2 CTZD Model for Solving GS-Type CTLME
3 DTZD Models
3.1 ZeaD Formula
3.2 DTZD Model for Solving GS-type FLME
4 Numerical Experiments and Comparisons
4.1 GS-type FLME
5 Conclusion
References
A Heuristic Scout Search Mechanism for Artificial Bee Colony Algorithm
Abstract
1 Introduction
2 Standard Artificial Bee Colony Algorithm
3 The Heuristic Scout Search Mechanism
4 Experimental Results
5 Conclusion
References
Correlation Filter Tracking Algorithm Based on Spatio-Temporal Context
Abstract
1 Introduction
2 Related Work
3 Our Algorithm
3.1 The Principle of the Algorithm
3.2 Flow Chart
4 Experiment
4.1 Experimental Platform and Database
4.2 Evaluation
4.3 Result Analysis
5 Conclusion
Acknowledgments
References
Anti-occlusion Video Target Tracking Based on Double Threshold Judgment
Abstract
1 Introduction
2 Target Tracking Based on DSST Algorithm
3 Anti-occlusion Video Target Tracking Based on Double Threshold Judgment
4 Experimental Results and Analysis of Simulation
5 Conclusion
References
Natural Computation Applications: Natural Computation in Pattern Recognition and Diagnostics
Research on the Modern Power Grid Planning Method Based on the Nature and Characteristic of Power Network Planning
Abstract
1 Introduction
2 Power Grid Planning
2.1 The Problem of Power Grid Planning
2.2 The Characteristics of the Power Grid Planning
3 Modern Power Grid Planning Method
3.1 Simulated Evolutionary Methods
3.2 Evolutionary Programming Algorithm
4 The Feasibility of Modern Power Grid Planning Method
5 The Development Trend of Modern Power Grid Planning Method
6 Summary
References
Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos
Abstract
1 Introduction
2 Related Works
3 Proposed Model
3.1 Spatial Feature Extraction
3.2 Temporal Feature Extraction
4 Experiments
5 Conclusion
Acknowledgements
References
A High-Dimensional and Multi-granularity Feature Selection Method Based on CNN and RF
Abstract
1 Introduction
2 Related Work
3 Our Method
3.1 The Representation of High-Dimensional and Multi-Granularity Feature Data
3.2 FSCNN Model
3.3 FSCNNRF Model
4 Experiments
4.1 Dataset and Experiment Preparation
4.2 Comparative Analysis of Experiments
4.3 Feature Validity Analysis
5 Conclusions and Future Work
Acknowledgment
References
Structural Nonlinear Damage Detection Based on Time Series Model and Probability Theory
Abstract
1 Introduction
2 Probabilistic Damage Detection Based on AR/ARCH Model
2.1 AR/ARCH Model and Damage Index
2.2 Probability Theory
3 Numerical Example
4 Conclusions
Acknowledgments
References
Automatic Bug Priority Prediction Using DNN Based Regression
1 Introduction
2 Our Approach
2.1 Feature Extraction
2.2 DNN Based Prediction
3 Experiments
3.1 Results Based on Precision/Recall
4 Related Work
5 Conclusion
References
Natural Computation Applications: Natural Computation in Signal Processing and Multimedia
Target Cropping: A New Data Augmentation Method of Fine-Grained Image Classification
1 Introduction
2 Related Work
2.1 Data Augmentation
2.2 Fine-Grained Image Classification
2.3 Weakly-Supervised Object Localization
3 Method
3.1 Discriminative Region Finding
3.2 Model Architecture
4 Experiment
4.1 Dataset
4.2 Experimental Setting
4.3 Result
5 Conclusions
References
UAV Remote Sensing Image Stitching
1 Introduction
2 Related Works
3 Proposed Warp
3.1 Feature Point Sets Registration
3.2 Images Stitching
4 Experiments
5 Conclusion
References
Towards Data-Driven Automatic Video Editing
Abstract
1 Introduction
2 Related Work
2.1 Video Summarizing
2.2 Automated Editing of Video Footage from Multiple Cameras to Create a Coherent Narrative of an Event
2.3 Learning Editing Styles from Existing Films
3 System Overview
4 Components and Training
4.1 Features Extraction Components
4.2 Automatic Editing Model Training
5 Evaluation
5.1 Qualitative Evaluation
5.2 Quantitative Evaluation
6 Conclusion and Future Work
References
A Deep Speaker Embedding Transfer Method for Speaker Verification
Abstract
1 Introduction
2 Deep Speaker Embedding
3 Pure Data Training Transfer Method
4 Experiments Setup
4.1 Database Details
4.2 Experiment Steps
4.3 Pre-trained Model
4.4 Data Arrangement and Experiments
5 Experiments Result
6 Conclusions
References
A Deep Neural Network Model for Music Genre Recognition
1 Introduction
2 Methodology
2.1 Feature Extraction
2.2 CNN-FNN: A Deep Model Combining CNN and FNN
3 Experiments
3.1 Experimental Settings
3.2 Performance of CNN-FNN
4 Conclusion
References
A Spatial Fusion Scheme of Multi-focus Image Combining SVM-Based Classification and PCA-Based Weight
Abstract
1 Introduction
2 The Pixel Classification Based Image Fusion Method
2.1 Feature Extraction
2.2 RBF-SVM Model
3 The Image Fusion Strategy
3.1 Disputed Area Extrication
3.2 Pixel Weighted Fusion Method Based on PCA
4 Experimental Results and Analysis
5 Conclusion
Acknowledgment
References
An Improved K-SVD Algorithm and Its Application for Image Denoising
Abstract
1 Introduction
2 Principal Component Analysis
3 Image Denoising Using the Improved K-SVD Algorithm
4 Experiment and Result Analysis
4.1 Image Denoising
4.2 Denoising Experiment with Noise Change
5 Conclusion
References
Natural Computation Applications: Other Natural Computation Applications
Road Boundary Detection Using Ant Colony Optimization Algorithm
1 Introduction
2 Related Works
3 Proposed Approach and System
3.1 Pre-processing
3.2 Finding the Start of the Road Lines
3.3 Ant Colony Optimization
4 Experiment and Results
5 Conclusion
References
Sharpening the Pan-Multispectral GF-1 Camera Imagery Using the Gram-Schmidt Approach: The Different Select Methods for Low Resolution Pan in Comparison
Abstract
1 Introduction
2 Materials and Methods
2.1 Remote Sensing Data and Pre-processing
2.2 Select Method for Low Resolution Pan
2.3 Global Spatial Statistics
2.4 Evaluations of the Sharpening Imagery
3 Results and Discussions
4 Conclusions
Acknowledgment
References
Detection of Vegetation Patch Growth by Absorption Feature Analysis on Tasseled Cap Brightness of Transects from Landsat 7 ETM+ Images
Abstract
1 Introduction
2 Materials and Methods
2.1 Remote Sensing Data
2.2 Transect Selections
2.3 Mapping the Position and Depth of the Absorption Features
3 Results
3.1 Absorption Features in the Transects
3.2 Temporal Analysis
3.3 Analysis of the Errors
4 Discussion
5 Conclusions
Acknowledgment
References
X-Architecture Steiner Minimal Tree Construction Based on Discrete Differential Evolution
Abstract
1 Introduction
2 Problem Description
3 DE Algorithm
3.1 Process of Traditional DE Algorithm
4 XSMT-DDE Algorithm
4.1 Coding Strategy
4.2 The Fitness Function of the Particle
4.3 Particle Updating Formula
4.4 Algorithm Flow of This Paper
5 Experimental Results
5.1 Parameter Setting Relating to Algorithm
5.2 Verify the Validity of the Minimum Tree Generation Method
5.3 Comparison with Other Algorithms
6 Conclusion
Acknowledgements
References
Detection Models Study of Chlorophyll in Winter Wheat's Leaves by Reflectance Spectra and Artificial Neural Networks
Abstract
1 Introduction
2 Experiment
2.1 Acquisition of Winter Wheat Leaf Reflection Spectra
2.2 Determination of Standard Value of Leaf Chlorophyll Content
3 MSC Pretreatment of Winter Wheat Reflectance Spectra
4 The Structure of ANN
5 Establishment of Spectral Detection Model for Chlorophyll Content in Winter Wheat Leaves
6 Discussion
7 Results and Conclusion
Acknowledgements
References
Forecasting Tourist Arrivals in China Based on Seasonal Decomposition and LSSVR Model
Abstract
1 Introduction
2 Methodology Formulation
2.1 Overall Process of the Proposed Methodology
2.2 Seasonal Decomposition Methods
2.3 Forecasting Modeling
3 Empirical Study
3.1 Data Description and Experiment Design
3.2 Prediction Results
4 Discussion
5 Conclusions
Acknowledgements
References
Techno-Economic Design and Optimal Operation of Active Radial Active Distribution Network Using Online Optimizer: Real Case Study in Sohag, Egypt
Abstract
1 Introduction
2 Sohag Case Study Planning Data
3 Research Methodology
3.1 Online Optimizer
3.2 Techno-Economic Modelling
3.3 Optimal Power Flow Model
3.4 Soft Open Points (SOPs) Modelling
3.5 Sohag Active Radial Distribution Network
4 Simulation Results and Discussion
4.1 Optimal Configuration Plan of the Hybrid Grid Connected System of Sohag
4.2 Optimal Operation of Sohag Active Radial Distribution Network
5 Conclusions
References
Artificial Honey Bee Swarm Intelligence for the Autograding of EBN
Abstract
1 Introduction
2 Prior Work
3 Proposed Methodology
3.1 Feature Extraction
3.2 Autograding
4 Results and Discussions
5 Conclusions
References
Predicting Potential Years of Most Costly War Involving USA via ASF Approach
1 Introduction
2 Preliminaries
2.1 Ten Most Costly Wars in USA History
2.2 ASF Approach
3 Numerics with Ten War Data
4 Numerics with Nine War Data
4.1 Numerics without 2001 War Datum
4.2 Summary Results of Ten Groups of Numerics
5 Consistency Analysis
6 Conclusion
References
Guidance Instrumentation Systematic Error Separation Method Based on Particle Swarm Optimization
Abstract
1 Introduction
2 The Guidance Instrumentation Systematic Error Model
3 Guidance Instrumentation Systematic Error Separation Based on PSO
4 Data Processing and Analysis
5 Conclusion
Acknowledgement
References
Assessment of Global Left Ventricle Deformation Using Recursive Spherical Harmonics
1 Introduction
2 Description of the Method
3 Experimental Results
3.1 LV Modeling Using RSHs
3.2 Medical Application
4 Conclusion
References
A Hybrid Swarm Intelligence-Based Algorithm for Finding Minimum Positive Influence Dominating Sets
1 Introduction
2 The Proposed Hybrid Algorithm
2.1 General Framework
2.2 Greedy Randomized Adaptive Construction Procedure
2.3 Crossover Procedure and Mutation Procedure
2.4 Repair Procedure
3 Experimental Results
4 Conclusions
References
Limit Cycles Analysis in a Fifth-Order Vector Field with Asymmetric Perturbation Terms
1 Introduction and Main Conclusions
2 Detection Functions and Numerical Exploration Method
3 Analysis of the Unperturbed System
4 Limit Cycles Analysis of the Perturbed System
5 Conclusion
References
Exploring Optimal Model for Machine Learning by Differential Evolution
Abstract
1 Introduction
2 Related Studies
2.1 Regression Models
2.2 Differential Evolution
2.3 Ant Colony Optimization
3 Method and Experiment
3.1 Benchmark Datasets
3.2 Model Training
3.3 DE Methods
3.4 ACO Methods
4 Results
5 Conclusion
References
Power Transformer Fault Diagnosis Based on Improved Bat Algorithms to Optimize RNN
Abstract
1 Introduction
2 Algorithm Description
2.1 Traditional Bat Algorithm
2.2 Improvement of Bat Algorithm
2.2.1 Introducing Adaptive Inertial Weight
2.2.2 Introducing Experience Factor
2.2.3 Introducing Chaotic Local Search
2.3 Experimental Simulation and Result Analysis
2.4 Randomized Neural Network
3 Empirical Analysis
3.1 Data Selection
3.2 Comparative Analysis of Prediction Examples
4 Conclusions
References
Architecture of Real-Time and Dynamic Audit for Network Behavior Security
Abstract
1 Introduction
2 Proposed Architecture
2.1 General Description
2.2 Pretreating Network Behavior Data
2.3 Synchronizing Network Data
2.4 Dynamically Recognizing Network Behavior
2.5 Comprehensively Auditing Network Behavior Security
3 Conclusion
Acknowledgement
References
A Comparison of Extreme Gradient Boosting and Convolutional Neural Network-Long Short-Term Memory for Service Demand Forecasting
1 Introduction
2 Proposed Method
2.1 Extreme Gradient Boosting
2.2 CNN-LSTM Model
2.3 Model Evaluation Metric
3 Experiments
3.1 Data Preparation and Description
3.2 XGBoost Modeling and Configuration
3.3 CNN-LSTM Modeling and Configuration
4 Results and Evaluation
4.1 XGboost Forecasting Results
4.2 CNN-LSTM Forecasting Results
4.3 Evaluations
5 Conclusion
References
Bifurcation of Limit Cycles and Their Relations in Three Perturbed Integrable Systems
1 Introduction and Main Conclusions
2 Detection Functions and Detection Curves
3 Analysis of the Unperturbed System
4 Limit Cycles Analysis of the Perturbed System
5 Conclusion
References
Modeling of Information Diffusion in Sina Weibo Based on Random Forest Classifier and SIR Model
Abstract
1 Introduction and Background
2 Methodology
3 Data Pre-processing
4 Random Forest Model to Predict Repost Behavior
5 SIR Model to Simulate Information Diffusion
6 Conclusions and Discussions
Acknowledgement
References
Automatic Segmentation of Visible Epicardium Using Deep Learning in CT Image
Abstract
1 Introduction
2 Proposed Method
2.1 Fully Convolutional Network (U-Net)
2.2 Fully Dense Connected Convolutional Network (DenseU-Net)
3 Experiments and Results
3.1 Dataset
3.2 Experiments
4 Conclusions
Acknowledgements
References
Semi-automatic Cephalometric Landmark Detection on X-ray Images Using Deep Learning Method
Abstract
1 Introduction
2 Proposed Method
2.1 Preprocessing
2.2 Resnet50 Model
3 Experiment and Result
3.1 Dataset
3.2 Experiments
4 Conclusion
Acknowledgements
References
Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images
Abstract
1 Introduction
2 Proposed System
2.1 Hand Image Pre-processing
2.2 Recognition Using Multimodal Image
2.3 Visualization Module
3 Experimental Results
3.1 Dataset
3.2 Recognition Result
4 Conclusion
Acknowledgment
References
Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images
Abstract
1 Introduction
2 Methods
2.1 PCA-Based Methods
2.2 2D-PCA
2.3 GND-PCA
3 Experiments
3.1 Data
3.2 Experimental Settings
3.3 Results
4 Conclusion
Acknowledgement
References
Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data
Abstract
1 Introduction
2 Causal InfoGAN to Acquire the Dynamics of the Data
3 Extraction of Causality by Data Encoder
4 Numerical Experiments on a Toy Data of Division Process
4.1 Artificial Datasets
4.2 Experimental Setting
4.3 Acquired Dynamics in the Latent State Space
4.4 Encoding Result of the Time Development onto the Latent State Space
5 Present Summary and Future Works
References
Characterizing Phenotype Abnormality by Variational Auto Encoder
1 Introduction
2 Temporal Series of Three-Dimensional Biological Data
2.1 Worm Developmental Dynamics Database
2.2 Input Data to VAE
3 Network Structure of VAE
4 Experimental Results
4.1 Abnormality Defined by the Reconstruction Error by VAE
4.2 Time Development in Latent Space
5 Present Summary
References
Diversity Preservation in Genetic Algorithm by Lifespan Control
1 Introduction
2 Building Structure Optimization
2.1 Building Member Placement as an Combinatorial Optimization
2.2 Optimization by Genetic Algorithm
2.3 Continuous Generation Genetic Algorithm for Efficient Search
3 Life Control Genetic Algorithm
4 Evaluation in Function Optimization
4.1 Experimental Settings for Rastrigin Function Optimization
4.2 Results
5 Application to Building Structure Optimization
5.1 Experimental Settings
5.2 Results
5.3 Setting of Lifespan
6 Summary
References
Detection of Toothbrush Hair Loss Based on Machine Vision
Abstract
1 Introduction
2 Research Methods and Contents
2.1 Vision Detection System
2.2 Grayscale Image
2.3 Image Sharpening
2.4 Image Matching
3 Experimental Results and Analysis
3.1 Experimental Scheme
3.2 Experimental Results
4 Conclusion
References
Analysis of the Influencing Factors of the Artificial Intelligence Judicial Referee System
Abstract
1 Introduction
2 Models and Review
2.1 Literature Review
2.2 Judicial Referee Intelligent Assistant Systems
3 Design and Analysis of Algorithms
3.1 Establish a Hierarchical Structure Model
3.2 Constructing All the Judgment Matrices in Each Level
3.3 Hierarchical Single Sorting and Consistency Check
3.4 Hierarchical Total Ordering and Consistency Check
4 Experiments and Results
5 Conclusion
Acknowledgements
References
An Application of Artificial Intelligence Technique in Horizontal Crustal Stress Measurement
Abstract
1 Introduction
2 Methodology of the Crustal Stress State Identification
2.1 Back Propagation Neural Network (BPNN)
2.2 Genetic Algorithm (GA)
2.3 Artificial Intelligence Model Combing BPNN and GA
3 Verification of Artificial Intelligence Technique
3.1 Parameter Setting of Artificial Intelligence Technique
3.2 Result Analysis
4 Conclusions
Acknowledgements
References
Short-Term Bus Passenger Flow Forecast Based on the Multi-feature Gradient Boosting Decision Tree
Abstract
1 Introduction
2 Related Work
3 Passenger Flow Forecasting Method Based on the Gradient Boosting Decision Tree
3.1 Introduction to the Gradient Boosting Decision Tree
3.2 Short-Term Passenger Flow Forecast Method
4 Experimental Results and Analysis
4.1 Experimental Data and Purpose
4.2 Data Preprocessing
4.3 Feature Introduction
4.4 Comparative Analysis of Experimental Results
5 Conclusion
Acknowledgment
References
Fuzzy Theory and Algorithms: Fuzzy Theory and Models
One Pattern Recognition Algorithm Based on Centroids of Fuzzy Hyper-Pyramid Numbers
1 Introduction
2 Basic Definitions and Notations
3 Centroid of Fuzzy Hyper-pyramid Numbers
4 Fuzzy Approximation Relation and Pattern Recognition
4.1 Fuzzy Approximation Relation
4.2 Pattern Recognition
5 Conclusions
References
Approximation of Fuzzy Numbers by Using -knots Piecewise Linear Fuzzy Numbers
1 Introduction
2 Basic Definitions and Notations
3 Approximation by Using -nodes Piecewise Linear Fuzzy Number
4 Specific Example of Solving the Nearest Approximates
5 Conclusion
References
The Lattice of Interval Valued (,-5muq)-fuzzy Filters in a Given MTL-algebra
1 Introduction
2 Preliminaries
3 On Interval Valued (, -5muq)-fuzzy Filters
4 The Lattice of Interval Valued (, -5muq)-fuzzy Filters
References
A Ranking Model for Intuitionistic Fuzzy Preference Relation Under Uncertainty for Targeted Poverty
1 Introduction
2 Preliminaries
2.1 Intuitionistic Fuzzy Set
2.2 Multiplicative Consistency of Intuitionistic Fuzzy Preference Relation
3 A Decision Model with IFPR
3.1 The Score Function Based on Euclidean Distance
3.2 Generating Intuitionistic Fuzzy Weights Based on IFPR
4 Numerical Example and Comparison
5 Conclusion
References
A New Distance Measure Between Atanassov's Intuitionistic Fuzzy Sets Based on Mapping
Abstract
1 Introduction
2 Review and Contrastive Analysis on the Current Measures of the Uncertainty of AIFSs
2.1 Distance Methods Between AIFSs
2.2 Similarity Methods Between AIFSs
3 New Distance Measure
4 Comparison and Analysis
5 Applications
6 Conclusions
References
A Constraint Framework for Uncertain Spatiotemporal Data in RDF Graphs
Abstract
1 Introduction
2 The Uncertain Spatiotemporal Data Model with Constraints
3 Inconsistency of Uncertain Spatiotemporal RDF Graph
4 Fixing the Inconsistency Caused by Changing Operations
4.1 Insert
4.2 Delete
4.3 Update
5 Conclusion
Acknowledgment
References
The Probability of Dual Hesitant Fuzzy Event and Its Applications to Bayesian Network Inferences
Abstract
1 Introduction
2 Preliminaries
2.1 Trigonometric Norms
2.2 The Dual Hesitant Fuzzy Sets
2.3 The Operations of Dual Hesitant Fuzzy Sets
3 The Probability of Dual Hesitant Fuzzy Event
3.1 The Concept of the Probability of Dual Hesitant Fuzzy Event
3.2 The Basic Properties of the Probability of Dual Hesitant Fuzzy Event
3.3 The Continuity of the Probability of Dual Hesitant Fuzzy Event
4 The Conditional Probability of DHFEs
4.1 The Concept of Conditional Probability of DHFEs
4.2 The Properties of Conditional Probability of DHFEs
4.3 The Comparison Laws of Probabilities of DHFEs
5 Correlation Coefficients Between DHFEs
6 Dual Hesitant Fuzzy Bayesian Network Inference
7 Conclusion
References
Order Relations Between Interval Numbers
1 Introduction
2 The Equivalence of Several Satisfaction Indices for Comparing any Two Interval Numbers
2.1 The Basic Interval Arithmetic
2.2 Definitions of the Satisfaction Index
2.3 Equivalence Relations Among Satisfaction Indices
3 Conclusion
References
Some New Distance Measures for Generalized Hesitant Fuzzy Sets
1 Introduction
2 Preliminaries
3 Some New Distance Between Two Generalized Hesitant Fuzzy Sets
References
Determination of Multiple q Values for Tsallis-Entropy-Maximized-FCM
1 Introduction
2 Tsallis-DAFCM
3 qiTsallis-DAFCM
3.1 Determination of qi
3.2 Problems of qi-Tsallis-FCM
3.3 Proposed Method
4 Clustering Algorithm
5 Experiments
5.1 Experiment Using Artificial Data
5.2 Experiment Using SDSS Data
6 Conclusion
References
Very True Operators on Quasi-pseudo-MV Algebras
1 Introduction
2 Preliminary
3 Very True Operators and Very False Operators
4 Conclusions
References
The Analysis of the Fuzzy Solution to Fully Fuzzy Linear Systems in Two Perturbation Situations
1 Introduction
2 Preliminaries
3 Perturbation Analysis of the Fully Fuzzy Linear Systems
4 Conclusion
References
A Novel Approach to Hesitant Fuzzy Soft Set Based Decision Making
1 Introduction
2 Preliminaries
3 Decision Making Based on Hesitant Fuzzy Soft Sets
3.1 Babitha 's Algorithm Based on Hesitant Fuzzy Soft Sets
3.2 A Counterexample
3.3 An Adjustable Approach Using Level Hesitant Fuzzy Soft Sets
4 Conclusion
References
A Novel Probability Evaluation Method Based on Fuzzy Fault Dependent Matrix
Abstract
1 Introduction
2 Fuzzy Fault Dependent Matrix
2.1 Fuzzy Fault Causal Relationship
2.2 Fuzzy Fault Dependent Matrix
3 Case Study
3.1 Display Unit Model
3.2 Fuzzy Fault Dependent Matrix of Display Unit
3.3 Probability Evaluation
4 Conclusion
References
A Multi-attribute Decision Making Method Based on Interval Pythagorean Fuzzy Language and the PROMETHEE Method
1 Introduction
2 Related Concepts
2.1 Pythagorean Fuzzy Set
2.2 PROMETHEE Method
3 Multi-attribute Decision Making Method Based on Pythagorean Fuzzy Information and PROMETHEE
4 Case Analysis
4.1 Analysis of Examples
4.2 Analysis of Results
5 Conclusion
References
A Multi-criterion Group Decision Making Method: CRITIC-WASPAS Based on Trapezoidal Intuitionistic Fuzzy Numbers
1 Introduction
2 Relevant Concepts
2.1 The Concept of Trapezoidal Intuitionistic Fuzzy Numbers
2.2 Fuzzy Language Translates into Trapezoidal Intuitionistic Fuzzy Numbers
3 CRITIC-WASPAS Method Based on Trapezoidal Intuitionistic Fuzzy numbers
4 Case Analysis
5 Results Analysis
6 Conclusion
References
An Interval Intuitionistic Fuzzy VIKOR Evaluation Method Based on Unknown Weight
1 Introduction
2 The Interval Intuitionistic Fuzzy VIKOR Related Theory
2.1 Interval Intuitionistic Fuzzy Sets
2.2 VIKOR Sorting Principles
3 The Evaluation Method Based on Interval Intuitionistic Fuzzy VIKOR
4 Case Study
4.1 Case Study
4.2 Comparison of the VIKOR Sorting Method with Other Sorting Methods
5 Conclusion
References
Fuzzy Theory and Algorithms: Soft Computing and Granular Computation
The Residual Power Series Method for Solving the Fractional Fuzzy Delay Differential Equation
1 Introduction
2 Preliminaries
3 Applications for the Residual Power Series Method
4 Result and Analysis
5 Conclusion
References
Credibility Assessment of Simulation Models Using Hesitant Cloud Linguistic Term Sets
Abstract
1 Introduction
2 Hesitant Cloud Linguistic Term Sets
3 Credibility Assessment Using HCLTSs
3.1 Selection of Indicators
3.2 Definition of a Linguistic Term Set
3.3 Context-Free Grammars
3.4 Transformation Functions
3.5 Synthetic Cloud Model of an HCLTS
3.6 Aggregations
4 An Illustrative Example
5 Conclusion
Acknowledgment
References
Fuzzy Entropy Clustering Image Segmentation Algorithm Based on Potential Two-Dimensional Histogram
Abstract
1 Introduction
2 Related Works
2.1 FCM2D
2.2 FEC
3 Proposed Fuzzy Entropy Clustering Algorithm for Image Segmentation Based on Potential Two-Dimensional Histogram
3.1 Two-Dimensional Histogram Based on Potential
3.2 Proposed Algorithm
4 Experimental Results
5 Conclusion
References
Fuzzy Applications: Fuzzy Pattern Recognition and Diagnostics
Kernel Circulant Object Tracking Based on Illumination Invariant Features
Abstract
1 Introduction
2 Kernel Circulant Object Tracking
3 The Kernel Circulant Tracking Algorithm Based on Illumination Invariant Features
3.1 Illumination Invariant Features of Locality Sensitive
3.2 Kernel Circulant Object Tracking Based on Illumination Invariant Features
4 Experimental Results and Analysis
4.1 Qualitative Comparison and Analysis
4.2 Quantitative Comparison and Analysis
5 Conclusion
Acknowledgments
References
Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics
Abstract
1 Introduction. State-of-Art Problem Analysis
2 Data Set Description
3 Convolutional Neural Networks: Brief Description
4 CNN Model for Image Classification
5 Fuzzy Neural Network NEFClass
6 Experimental Investigations and Analysis
7 Conclusions
References
Fuzzy Applications: Fuzzy Optimization, Design, and Modeling
The Assessment of Airline Service Performance with Dependent Evaluation Criteria by Generalized QFD and SAW Under Interval-Valued Fuzzy Environment
Abstract
1 Introduction
2 Preliminaries
3 Generalized QFD and SAW Under Interval-Valued Fuzzy Environment
4 The Assessment of Airline Service Performance Using Dependent Criteria
5 Conclusions
Acknowledgements
References
Construction of Multivariable Fuzzy Time Series Model Based on Multidimensional Information Distribution Technology
Abstract
1 Introduction
2 Information Distribution
2.1 One-Dimensional Information Distribution
2.2 Multi-dimensional Information Distribution
3 Construction of Multivariable Fuzzy Time Series Model
3.1 Fuzzification of Time Series
3.2 Establishment of Fuzzy Information Matrix
3.3 Establishment of Fuzzy Relation Matrix
3.4 Establishment of Multivariable Fuzzy Time Series Forecasting Model
4 Case Study - the Forecast of SO2 Emissions in China
4.1 Data and Their Preprocessing
4.2 Forecast of SO2 Emissions Based on the MIDTMFTS Model
4.3 Forecast of SO2 Emissions Based on the Markov Model
4.4 Comparison and Analysis
5 Conclusions and Discussion
Acknowledgement
References
Research on Apple Yield Prediction Model
Abstract
1 Introduction
2 Materials and Methods
3 Apple Yield Fuzzy Comprehensive Prediction
4 Summary
References
A Probability Transition Matrix-Based Recommendation Algorithm for Bipartite Networks
Abstract
1 Introduction
2 Algorithm Description
3 Experimental Results and Analyses
3.1 Sorting Algorithm Based on Probabilistic Transfer Model
3.2 Recommendation Algorithm Based on Bipartite Network
4 Conclusions
Acknowledgements
References
CDIA: A Feasible Community Detection Algorithm Based on Influential Nodes in Complex Networks
1 Introduction
2 Models and Definitions
3 Algorithm Description
4 Experiments
5 Conclusion
References
Context-Sensitive Cross- and Auto-correlation Based Supervised Change Detection
Abstract
1 Introduction
2 Local Measures of Spatial and Temporal Dependence
3 Cross-correlation
4 Auto-correlation: Getis Statistic
5 Logistic Regression
6 Context-Sensitive Cross- and Auto-correlation Based Supervised Change Detection Approach
7 Experiment
7.1 Dataset Related to California 2007
7.2 Results and Discussion
8 Summary
References
Fuzzy Applications: Uncertainty Management
Cultural Ranking of Countries Using the Analytic Hierarchy Process Methodology
Abstract
1 Introduction
2 AHP Methodology for Ranking
3 Criteria and Subcriteria for Cultural Ranking
4 The Process of Deriving the Priorities
4.1 Constructing the Judgment Matrix
4.2 Priorities of the Criteria and Subcriteria
4.3 Priority of the Intensities of the Ratings Used for Each Subcriterion
5 Cultural Ranking of Countries
6 Conclusions
Acknowledgement
References
Sustainable Performance Evaluation of Urban Mobility Projects Using Multicriteria Group Decision Making Approach
Abstract
1 Introduction
2 Sustainable Performance Evaluation of Urban Mobility Projects
3 A Fuzzy Multicriteria Group Decision Making Approach
4 An Example
5 Conclusion
References
Fuzzy Applications: Other Fuzzy Applications
A Parallel Fuzzy Method to Reduce Mixed Gaussian-Impulsive Noise in CT Medical Images
1 Introduction
2 Fuzzy Method
2.1 Computing Rank-Ordered Absolute Differences (ROAD) Statistic for Impulse Detection
2.2 Impulsivity Degree Function
2.3 Similarity Degree
2.4 Averaging Fuzzy Coefficients
2.5 Fuzzy Rule-Based System
2.6 Defuzzification
2.7 Parallel Method
3 Experimental Results
4 Conclusions
References
Structural Parameters Optimization and Grey Relational Analysis in Honeycomb Spiral Heat Exchangers
Abstract
1 Introduction
2 Orthogonal Optimization Test Scheme
2.1 Selection of Influencing Factors and Design Indexes
2.2 Model Establishment and Solution
2.3 Numerical Simulation Results
3 Range Analysis of Numerical Simulation Results
4 Grey Relational Analysis of Simulation Data
4.1 Find Out Ideal Scheme
5 Conclusions
References
Interval Valued Generalised Fuzzy Soft Expert Set and Its Application
1 Introduction
2 Preliminaries
3 Interval-Valued Generalised Fuzzy Soft Expert Sets
References
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