Advances in Neural Networks - ISNN 2012

Name: Advances in Neural Networks - ISNN 2012 | 9th International Symposium on Neural Networks, ISNN 2012, Shenyang, China, July 11-14, 2012. Proceedings, Part II
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9th International Symposium on Neural Networks, ISNN 2012, Shenyang, China, July 11-14, 2012. Proceedings, Part II

Jun Wang Gary G. Yen Marios M. Polycarpou(Editor)

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Published on 23. July 2012

XXV, 669 pages

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978-3-642-31362-2 (ISBN)

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Content

Intro
Title
Preface
ISNN 2012 Organization
Table of Contents - Part II
Pattern Recognition
The Pattern Classification Based on Fuzzy Min-max Neural Network with New Algorithm
Introduction
The New Architecture of Fuzzy Min-max Neural Network
The New Algorithm of Fuzzy Min-max Neural Network
Examples
Conclusions
References
Multi-class Classification with One-Against-Onem Using Probabilistic Extreme Learning Machine
Introduction
One-Against-One for Probabilistic Extreme Learning Machine
Binary of Extreme Learning Machine
Binary Probabilistic Extreme Learning Machine
OAO-PELM Multi-class Classification
Results and Discussion
The Case Study: WWTP
Multi-class Classification
Conclusions
References
Similarity Measurement and Feature Selection Using Genetic Algorithm
Introduction
Our Approach
Proposed Approach
Extension for High-Dimensional Data
Experiments
Experimental Conditions
Experimental Results and Analyses
Discussion
Conclusions
References
Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL
Introduction
IAL Base on Neural Networks
Entropic Discrimination Ability for Feature Ordering
General Approaches to Feature Ordering
Discriminability for Feature Ordering
Entropic Discriminability
Validation Experiments and Analysis
Future Work and Conclusions
References
Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method
Introduction
The Architecture of RBF Neural Networks
The Learning Method of FCM-Based RBF Neural Network
The Learning Method of Pre-processing Part by LDA
The Learning Method of Premise Part by FCM Algorithm
The Learning Method of Consequent Part by LSE
Optimization Process of the FCM-Based RBFNNs
Experimental Results
Concluding Remarks
References
An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence
Introduction
Proposed Texture Classification Method Based on Weighted Kullback-Leibler Divergence
Local Energy Histogram in the Wavelet Domain
Weighted Kullback-Leibler Divergence and Proposed Texture Classification Method
Experimental Results
Texture Classification Performance and Comparison
Computational Cost
Conclusions
References
The Recognition Study of Impulse and Oscillation Transient Based on Spectral Kurtosis and Neural Network
Introduction
Spectral Kurtosis and Neural Network
Definition of Spectral Kurtosis
Wavelet Transform(WT) Based SK
RBF Neural Network
Classification of Transient Disturbances Based on SK and Neural Network
Simulation Analysis
Extract the Characteristic Quantities
Classification and Recognition
Conclusions
Reference
Forward Feature Selection Based on Approximate Markov Blanket
Introduction
Markov Blanket
Feature Selection Based on Markov Blanket
Approximate Markov Blanket
Forward Feature Selection
Simulation Results
Simulation Results for Friedman Data Set
Simulation Results for Lorenz Data Set
Simulation Results for Gas Furnace Data Set
Conclusions
References
An Adaption of Relief for Redundant Feature Elimination
Introduction
Basic Ideas of Relief
Conditional Relief
Theoretical Analysis
Effectiveness and Time Complexity
Threshold and Iteration Number
Experiment
Experimental Setup
Results on Benchmark Data
Conclusion
References
Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters
Introduction
Feature Selection and Modeling via Partial Least Squares
Partial Least Squares
Feature Selection Based on Partial Least Squares
Application Study
Analysis of the Shell Vibration Frequency Spectrum
Selection Frequency Bands Based on the Unscaled Spectrum
Modeling the Parameters of Mill Load
Conclusions
References
Nonnegative Dictionary Learning by Nonnegative Matrix Factorizationwith a Sparsity Constraint
Introduction
The Algorithm
NumericalExperiments
Synthetic Experiment with Stochastic Dictionary
Synthetic Experiment with Decimal Digits Dictionary
Conclusions
References
A New Method for Hand Detection Based on Hough Forest
Introduction
Model and Algorithm
Random Trees
Detection Algorithm
Experimental Results and Analysis
Conclusion
References
Multi-scale Convolutional Neural Networksfor Natural Scene License Plate Detection
Introduction
Multi-scale Convolutional Neural Networks
Multi-scale Architecture for Object Detection
A Multi-scale CNN Architecture
Training Methodology and License Plate Detection
Training Methodology
License Plate Detection
Experimental Results
Robustness
Accuracy
Discussion
Conclusion
References
Robust Mean Shift Tracking with Background Information
Introduction
Classical Mean Shift Tracking Algorithm
Background Information
Background-Weighted Histogram
Object/Background Likelihood Model(OBLM)
Comparisons between BWH and OBLM
Mean Shift with OBLM
Experimental Results and Analysis
Conclusions
References
Heart Sounds Classification with a Fuzzy Neural Network Method with Structure Learning
Introduction
Feature Extraction
Wavelet Analysis
The Normalized Average Shannon Energy
Extracted Features
Fuzzy Neural Network with Structure Learning
Fuzzy Neural Network Architecture
Structure Learning
Parameter learning
Experiments and Results
Dataset
Prior Knowledge Incorporation
Learning Efficiency Results
Classification Results
Conclusion
References
On Cortex Mechanism Hierarchy Model for Facial Expression Recognition: Multi-database Evaluation Results
Introduction
Standard Visual Cortex Model
Related Works
Poggio's Hierarchy Model
Intervention between Simple to Complex Units
Operation Computation Units
Learning Mechanism and Classification
Experiments
Database and Method Description
Results and Discussions
Conclusions
References
LEFT-Logical Expressions Feature Transformation: A Framework for Transformation of Symbolic Features
Introduction
Common Methods for Transforming Symbolic Attributes
LEFT-Logical Expressions Feature Transformation
Simulation Results
Artificially Generated Data
Simulations with Real Life Data
Discussion of Results and Conclusions
References
A Time-Frequency Aware Cochlear Implant: Algorithm and System
Introduction
TFA Cochlear Implant System Overview
Design of TFA-CIS Strategy
The TFA-CIS Strategy Overview
Design Considerations Summary
Wavelet Packet Filter Design
Wavelet Packet Envelope Detecting
Implementation Result
Conclusion
References
Gradient Vector Flow Based on Anisotropic Diffusion
Introduction
Snakes and Traditional External Force Fields
Snakes
GVF
NGVF
GVF Based on Anisotropic Diffusion
Experimental Results and Analysis
Conclusion
References
ECG Classification Based on Non-cardiology Feature
Introduction
Feature Extraction
Cardiology Feature Extraction
PCA and Independent Component Analysis Features Extraction
Feature Selection and Feature Combination
Experiment
Conclusion
References
Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification
Introduction
Related Work
Support Vector Machine
Biased-SVM
Our Method
An Extension Algorithm Based on Biased-SVM (EB-SVM)
Algorithm
Experiment
Experimental Setup
Comparison with Biased-SVM
Comparison with Other Methods
Conclusions
References
A Modified Neural Network Classifier with Adaptive Weight Update and GA-Based Feature Subset Selection
Introduction
DCFMN Architecture and Implementation
Dataset Preprocessing by Genetic Algorithm
A Modified Classifier with Adaptive Weigh Update
Experiment Results
References
Vision
A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs
Introduction
Data Preprocessing Procedure for Facial Feature Extraction
Design of Pattern Classifier Using RBF Neural Networks
Architecture of Polynomial-Based RBFNNs
The Discriminant Function
Differential Evolution
Applications to Face Recognition System
Conclusion
References
Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks
Introduction
Data Preprocessing for Extraction of Facial Features
Principal Component Analysis
Linear Discriminant Analysis
Hybrid Approach Based on PCA and LDA
Architecture of Proposed Polynomial-Based RBF NNs
Condition Phase of Networks
Conclusion Phase of Networks
Aggregation Phase of Networks
P-RBF NNs Classifiers: Learning Method and Its Optimized by DE
The Discriminant Function
Optimization of Parameters of the P-RBF NNs with the Aid of DE
Experimental Studies
Experimental Design
ORL Database
Conclusions
References
Two-Phase Test Sample Representation with Efficient M-Nearest Neighbor Selection in Face Recognition
Introduction
Two-Phase Test Sample Representation (TPTSR) with M-Nearest Neighbor Selection Criterions
First Phase of the TPTSR with M-Nearest Neighbor Selection Criterions
Second Phase of the TPTSR
Experimental Results
Conclusion
References
A Multiple Sub-regions Design of non-Classical Receptive Field
Introduction
Neural Model
Neural Circuit for Dynamically Adjusting of RF
Multi-layer Network Model for Image Processing
Design of Multiple Sub-regions of nCRF Model
Experimental Results
Dynamic Adjustment of RFs
Experiments with the Whole GC Array
Discussion
References
A New Method of Edge Detection Based on PSO
Introduction
Background
Edge Detection Approaches
Particle Swarm Optimization
Edge Detection Based on PSO
Particle Encoding
Define the Fitness Function of Curve in the PSO Technique
Experiments
Simple Object Shape
Noisy Image Has Simple Object Shape
Noisy Image Has Complex Texture
Conclusion
References
Speed Limit Sign Recognition Using Log-Polar Mapping and Visual Codebook
Introduction
Log-Polar Mapping
Traffic Sign Representation
Coding Approach
Experimental Results
Conclusion
References
Image Processing
A Medical Image Fusion Method Based on Visual Models
Introduction
Visual Models and IHS Fusion Technique
Retina-Inspired Model: Difference of Gaussian Model
Primary Visual Cortex Modeling: 2D Log-Gabor Model
IHS Fusion Technique
The Proposed Method
Experimental Results and Discussions
Conclusion
References
A Novel Method of River Detection for High Resolution Remote Sensing Image Based on Corner Feature and SVM
Introduction
Feature Extraction
Corner Feature Extraction
Local Entropy Feature Extraction
Texture Feature Extraction
River Detection with SVM
Experimental Results
Conclusion
References
Nature Image Feature Extraction Using Several Sparse Variants of Non-negative Matrix Factorization Algorithm
Introduction
The SNMF Algorithm
The LNMF Algorithm
The NMFSC Algorithm
Experimental Results and Analysis
Image Feature Extraction
Image Reconstruction
Conclusions
References
A Remote Sensing Image Matching Algorithm Based on the Feature Extraction
Introduction
The Rough Matching
Mean-Shift Based on the Color Histogram
Mean-Shift Based on the Gradient Direction Histogram
Speeded-Up Robust Features (SURF)
Experimental Results and Analysis
The Results of the Rough Matching
The Final Results
Conclusion
References
Robust Color Image Watermarking Using LS-SVM Correction
Introduction
Quaternion Discrete Cosine Transform of Color Images
Quaternion Geometric Legendre Moment Invariants
Watermark Embedding Scheme
Quaternion Discrete Cosine Transform of Color Image Block
Digital Watermark Embedding
Obtaining the Watermarked Image
Watermark Detection Scheme
LS-SVM Training
Geometric Correction of Watermarked Color Image
Watermark Extraction
Simulation Results
Conclusion
References
A Model of Image Representation Based on Non-classical Receptive Fields
Introduction
Neural Mechanism of Non-classical Receptive Field
The Computation Model Based on Non-classical Receptive Field
The Physiology Foundation of Computation Model
The Realization of Computation Model
Object Fitting Model Based on Small-Size Receptive Fields
Fitting by 2-dimensional Mixture Gaussian Model
Matching of an Object Based on Training Parameters
The Experimental Results
References
Information Processing
Coevolving between Structure and Dynamics of Growing Networks
Introduction
The Model
Model Analyses
Degree Distribution with Mean Field Theory Analysis
Analysis of Spreading Behavior with Moment Closure Approximation
Numerical Results
The References Section
References
Learning to Explore Spatio-temporal Impacts for Event Evaluation on Social Media
Introduction
Related Work
System Framework and Approaches
System Framework
Online Generation of Event Clusters for Dynamic Relatedness Evaluation
Characterization of Spatio-temporal Impacts of Investigated Events
Experimental Results
Dataset Collection and Event Detection
Ranking of Related Events (using baseline "Virginia Earthquake on August 24, 2011" Event)
Results and Discussion (Ranking of Event Relatedness)
Conclusion
References
Aspect and Sentiment Extraction Based on Information-Theoretic Co-clustering
Introduction
Feature and Sentiment Association Matrix Representation
Problem Definition
Feature and Sentiment Association Matrix Representation
Aspect and Sentiment Extraction Based on Information Theoretic Co-clustering
Experiments and Evaluation
Features and Opinion Words Extraction
Analysis of Co-clustering Results
Conclusion and Future Works
References
Exploratory Class-Imbalanced and Non-identical Data Distribution in Automatic Keyphrase Extraction
Introduction
Related Work
Keyphrase Extraction
Imbalanced Classification
Stacking
The Proposed Approach
Algorithm Framework
Stage I: Meta-model Learning
Stage II: Meta-model Combination
Experiments
Dataset
Features
Baselines
Experimental Results
Conclusion
References
The Research on Fisher-RBF Data Fusion Model of Network Security Detection
Introduction
Basic Thought and Model Structure
RBF Neural Network
Fisher Scores
Network Security Detection Based on Fisher-RBF Data Fusion
Network Intrusion and Detection
Fisher-RBF Data Fusion
Simulation and Analysis
References
Neurocontrol
Optimal Battery Management with ADHDP in Smart Home Environments
Introduction
Home Energy System Description
PSO Controller
ADHDP Optimal Controller
Critic Neural Network
Action Neural Network
Online Training
Results
Conclusions
References
Robot Navigation Based on Fuzzy Behavior Controller
Introduction
Navigation Behaviors Definition
Fuzzy Behavior Controller Design
Sensors Reading Grouping and Fusion
Input Fuzzificaiton
Decision Conditions for Navigation Behavior
Fuzzy Inference Mechanism for Robot Behavior Navigation
Experiment Results
Conclusions
References
New Robust H8 Fuzzy Control for the Interconnected Bilinear Systems Subject to Actuator Saturation
Introduction
Systems Description
H8 Fuzzy Control Design
Illustrative Example
Conclusion
References
Robust Constrained Constant Modulus Algorithm
Introduction
Problem Formulation
Mathematical Model
Conventional Constrained CMA
Robust Constrained CMA Based on Double Constraints
Simulation Results
Conclusion
References
Data-Driven Integrated Modeling and Intelligent Control Methods of Grinding Process
Introduction
Intelligent Control Strategy of Grinding Process
Technique Flowchart of Grinding Process
Intelligent Control Strategy of Grinding Process
Soft-Sensor Modeling of Grinding Process
Structure of Soft-Sensor Model
Simulation Results
Set-Point Optimization of Grinding Process Based on Case Reasoning
Basic Flowchart of Case-based Reasoning
Set-Point Optimization Strategy of Grinding Process
PID Decoupling Controller Based on ISFLA
Conclusions
References
Direct Adaptive Neural Dynamic Surface Control of Uncertain Nonlinear Systems with Input Saturation
Introduction
Problem Formulation and Preliminaries
Problem Formulation
RBF NNs
Direct Adaptive NN-Based DSC Design and Stability Analysis
Controller Design
Stability Analysis
Application Example
Conclusion
References
Adaptive Dynamic Surface Control of Uncertain Nonlinear Time-Delay Systems Based on High-Gain Filter Observer and Fuzzy Neural Networks
Introduction
Problem Formulation and Some Assumptions
High-Gain Filters Observer Design
Adaptive Fuzzy Neural Network DSC Design
The Stability Analysis of the Closed-Loop System
Conclusions
References
Time-Delay Wavelet Neural Networks Model with Application to Ship Control
Introduction
Time-Delay Wavelet Neural Network
Wavelet Transform
Network Structure of the Time-Delay Wavelet Network
Learning Algorithm of Time-Delay Wavelet Network
PID Control Strategy Based on Time-Delay Wavelet-Network
Ship Course Control Simulation
Conclusion
References
Research on the Application Mechanism of Single Neuron SAC Algorithm in Feedforward Compensation System Based on Invariance Principle about Hot Strip Mill
Introduction
The Feedforward Compensation Based on Invariance Principle
The Invariance Principle
The Feedforward Compensation
SAC Control Algorithm
The Design of Single Neuron Simple Adaptive Control
Single Neuron SAC Control System Astringency and Stability Mechanism Analysis
Single Neurons SAC Algorithm Effectiveness and Feasibility Simulation Analysis
Single Neuron SAC Algorithm Simulation in Feedforward Compensation System Based on Invariance Principle about Hot Strip Mill
References
H8 Robust Control for Singular Networked Control Systems with Uncertain Time-Delay
Introduction
Preliminaries
H8 Robust Control for the Singular Networked Control System
Numerical Example
Conclusions
References
A Model Reference Neural Speed Regulator Applied to Belt-Driven Servomechanism
Introduction
Description of Belt-Driven Speed Control System
Description of the Neural Control
Numerical Simulations
Conclusion
References
Model-Free Iterative Learning Control for Repetitive Impulsive Noise Using FFT
Introduction
Control Algorithm
Simulation Studies
Conclusions
References
Research on Diagnosis Method of Predictive Control Performance Model Based on Data
Introduction
PCA Methodology
PCA and Distance Similarity Factors
A Fault Detection and Diagnosis Method Based on Principal Component Analysis
The Performance Characteristics of Subspace Model Performance Diagnostic Method Based on the Optimization of PSO
Model Identification
Select the Identification Model
Database Generation and Selection of Performance Subspaces
Simulation Results
Conclusions
References
Temperature Control in Water-Gas Shift Reaction with Adaptive Dynamic Programming
Introduction
NN Modeling in the WGS
The ADP Method
Simulation Results
Conclusions
References
Regenerative Braking Control Strategy for Electric Vehicle
Introduction
The Rationale of Braking Energy Recycles for Electric Vehicle
Recovery of Braking Energy Analyze
Safety Brake Range
The Distribution Curve M about Minimum Braking Force of Rear Wheel
Modeling and Simulation for Regenerative Braking System
Conclusions
References
Recurrent Neural Network-Based Control for Wastewater Treatment Process
Introduction
Control System
Benchmark Simulation Model No.1
Controller Variables
The Scheme of Control System
Recurrent Neural Network Controller
Extended Elman Neural Network
Evaluation Criteria
Simulation Study
Comparison for Different Control Strategy of Two Variables
Three Variables Control
Conclusion
References
Neural Network Adaptive Control for Cooperative Path-Following of Marine Surface Vessels
Introduction
Problem Statement and Preliminaries
Vessel Model
Graph Theory
Problem Statement
Cooperative Path-Following Controller Design and Stability Analysis
Controller Design
Stability Analysis
Simulations
Conclusions
References
Vessel Steering Control Using Generalized Ellipsoidal Basis Function Based Fuzzy Neural Networks
Introduction
Vessel Motion Dynamics
Nomoto Motion Model
Generalized Ellipsoidal Basis Function Based Fuzzy Neural Network
GEBF-FNN Based Vessel Steering Controller
Dynamical PID Controller
GEBF-FNN Based Vessel Steering Control System
Simulation Studies
Conclusions
References
Fast Tracking Control of Three-Phase PWM Rectifier for Microturbine
Introduction
Modeling and Analysis for Three-Phase PWM Rectifier
Fast Tracking Control Scheme and Implementation
Tracking Differentiator
Power Tracking Control Implementation
Results of Simulation and Experiment
Conclusion
References
Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers
Introduction
Problem Statement
Iterative ADP Algorithm for Zero-Sum Differential Games with Saturating Controllers
The Iterative ADP Algorithm
Properties of the Iterative ADP Algorithm
Simulation Study
Conclusions
References
Neuroadaptive Speed Assistance Control of Wind Turbine with Variable Ratio Gearbox (VRG)
Introduction
VRG Description
Dynamic Model of PMSM
Control Design and Stability Analysis
Simulation Results
Conclusion
References
Novel Applications
Sentic Maxine: Multimodal Affective Fusion and Emotional Paths
Introduction
Sentic Maxine: System Overview
Scalable Multimodal Fusion for Continuous Affect Sensing
Emotional Mapping to a Continuous 2D Affective Space
Temporal Fusion of Individual Modules
"Emotional Kinematics" Path Filtering
Multimodal Fusion Results
Multimodal Fusion Methodology Tuning
Experimental Results
Conclusion and Future Work
References
Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange
Introduction
GARCH Regression
Individual Persistence Distributions
Persistence in Market Index Prices
Concluding Remarks
References
Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment
Introduction
Hierarchically Neural Network
The Structure of Soft Measurement Process
Learning Algorithm
The Simulation Result
Conclusion
References
Predictive Model of Production Index for Sugar Clarification Process by GDFNN
Introduction
Illustration of Clarification Process for Carbonation Method Sugar Factory
Modeling Data Preprocessing
Construction of Production Index Predictive Model by GDFNN
Experimental Results and Discussions
Conclusion
References
Energy Consumption Prediction in Ironmaking Process Using Hybrid Algorithm of SVM and PSO
Introduction
Problem Description
Design of the SVM Algorithm with PSO-Based Optimization
Design of SVM Algorithm
Parameter Optimization by PSO
Procedures of Improved SVM with PSO
Experimental Test
Conclusions
References
An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes
Introduction
Lazy Scheduling Algorithm
Energy Aware LSA
Computer Simulations
Experimental Setup
Test Results
Further Issues: EA-LSA for a More Flexible Energy Management
Conclusions
References
A Projection Based Learning Meta-cognitive RBF Network Classifier for Effective Diagnosis of Parkinson's Disease
Introduction
Projection Based Learning Algorithm for Meta-cognitive RBF Network Classifier
Cognitive Component of McRBFN
Meta-cognitive Component of McRBFN
Experimental Results
Conclusions
References
CNN Hyperchaotic Synchronization with Applications to Secure Communication
Introduction
Observer Design
Realization of Secure Communication
Simulations
Conclusion
References
Parallel Decision Tree with Application to Water Quality Data Analysis
Introduction
Parallel ID3 Algorithm Based on MapReduce
ID3 Algorithm
PID3 Based on MapReduce
Experimental Results
Data Preparation
Experimental Environment
Experimental Results
Conclusions
References
Prediction of Biomass Concentration with Hybrid Neural Network
Introduction
Hybrid Neural Network and Its Algorithm
Simulation
Conclusions
References
Short-Term Wind Power Prediction Based on Wavelet Decomposition and Extreme Learning Machine
Introduction
Wavelet Transform
Extreme Learning Machine Models
Extreme Learning Machine
Learning of Extreme Learning Machine
Short Term Wind Power Prediction Model
Model input and output
Wavelet Decomposition
Establishment of Extreme Learning Machine
The Model Prediction Step
Experiment Results
Conclusions
References
Fingerprint Enhancement Method Based on Wavelet and Unsharp Masking
Introduction
Wavelet Transform and Unsharp Mask
Wavelet Transform
Unsharp Mask
The Image Enhancement Method
Normalized Fingerprint Image
Wavelet Transform and the Wavelet Coefficients Treatment
Unsharp Masking Post-processing
Experimental Results and Analysis
Conclusions
References
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Advances in Neural Networks - ISNN 2012

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