Artificial Intelligence and Computational Intelligence

Name: Artificial Intelligence and Computational Intelligence | Second International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part III
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Second International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part III

Hepu Deng Duoqian Miao Jingsheng Lei Fu Lee Wang(Editor)

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Published on 25. September 2011

XVII, 678 pages

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Content

Title
Preface
Organization
Table of Contents
Machine Vision
An Algorithm of Determining the Plane Based on Monocular Vision and Laser Loop
Introduction
Monocular Vision Model
Spacial Plane Described with Ellipse
Algorithm Design
Conclusions
References
A Novel Content-Based Image Retrieval Approach Using Fuzzy Combination of Color and Texture
Introduction
Color Feature
Color Histogram
Color AutoCorrelogram of Partitioned Image
Texture Feature
Similarity Measure
Combine Color and Texture Using Proposed Fuzzy System
Experimental Results
Conclusions
References
Control System of the Explosive Ordnance Disposal Robot Based on Active Eye-to-Hand Binocular Vision
Introduction
The Feature and Design of Active Eye-to-Hand Binocular Vision System
The Feature of Active Eye-to-Hand Binocular Vision System
Design of the Control System of EOD
Key Technologies of Active Eye-to-Hand Binocular Vision System
Image Preprocessing
Target and Head Tracking
Reconstruction of Arm Direction
Experiments and Results Analysis
X-Axis Direction
Y-Axis Direction
Z-Axis Direction
Conclusion
References
Obstacles Detection in Dust Environment with a Single Image
Introduction
The Depth Map of Image in Dust Environment
Distance Detection for Obstacles
Geometric Reasoning Method
Coordinates of the Obstacle
Contour Detection for Obstacles
Experiments
Conclusion
References
An Object Recognition Strategy Base upon Foreground Detection
Introduction
Our Object Recognition Strategy
The Problem of Building Training Sets
The Introduction of HOG
Our Work
Experiment and Conclusion
Future Work
References
Camera Self-calibration Based on the Vanishing Points
Introduction
The Camera Model
Algorithm of Camera Self-calibration
The Projection Matrix
Calculation of Vanishing Points
Determining the Calibration Matrix
Algorithm Idea
Experiment Result
Conclusions
References
Lane Detection in Critical Shadow Conditions Based on Double A/D Convertors Camera
Introduction
Double A/D Convertors Camera
Preliminaries of Lane Detection
Region Growing Algorithm
Experiment Results
Conclusion
References
Image Selection Based on Grayscale Features in Robotic Welding
Introduction
The Experiment System
A Method for Image Selection
Average Gray Value
Histogram Features
Selection of Images
Results and Discussions
Conclusion
References
A New Shape from Shading Approach for Specular Surfaces
Introduction
Image Irradiance Equation Base on the Blinn-Phong Model
A Numerical Algorithm to Approximate the Solution of the Resulting Eikonal PDE
Experimental Results
Experimental Results on Sphere Image
Experimental Results on Vase Image
Conclusion
References
Image Feature to Take the Edge of the Research Methods by Anisotropic Diffusion
Introduction
Partial Differential Equations Theory
Anisotropic Diffusion Filtering Theory
New PDE-Based Morphological Erosion Operator
Morphological Erosion Operator Edge Detection Algorithm
Algorithm Steps
Experimental Comparison
Conclusion
References
Fabric Defect Detection Based on Computer Vision
Introduction
Image Acquisition
Experimental Method
Image Segmentation
Filter Based on Mathematic Morphology
Filter Based on Mathematic Morphology
Broken Ends, Missing Picks Detection Based on Direction Feature Training
Experimental Method
Conclusions
References
Natural Language Processing
A New Answer Analysis Approach for Chinese Yes-No Question
Introduction
Problem Formalization
Question Segmentation
Answer Scoring
Position Weight
Relevance to Question
Experiments
Data Set
CRF-Based Question Annotation
Answer Assertion Selection
Related Work
Conclusion and Future Work
References
A Novel Pattern Matching Method for Chinese Metaphor Identification and Classification
Introduction
Representation of Metaphorical Language
The Classification System of Chinese Metaphors
Referential Metaphors
Collocational Metaphors
Pattern Matching Algorithm for Metaphor Identification
Metaphor Identification Process
Judgment for Referential Metaphors
Judgment for Collocational Metaphors
Conclusions and Further Work
References
A Decoding Method of System Combination Based on Hypergraph in SMT
Introduction
Hypergraph Definition
Inside and Outside Prunning
N-Gram Probability
Decoding Algorithm
Experiments
Experimental Setup
Decoding Performance
Conclusion
References
Automatically Ranking Reviews Based on the Ordinal Regression Model
Introduction
Related Work
Modeling Review Quality
Ranking SVM Model
Specification of Quality
Feature Selection
Experiment
Experiment Data
Measure of Evaluation
System Performance and Analysis
Conclusion
References
A Comparison of Whitespace Normalization Methods in a Text Art Extraction Method with Run Length Encoding
Introduction
A Text Art Extraction Method
Scanning with Window Width k
Text Area Reduction
A Text Art Extraction Method
A Text Art Recognition Machine
Whitespace Normalization Methods
An Extraction Test
Text Data
Training and Testing
Results
Evaluation
Conclusion
References
Decoding Optimization for Chinese-English Machine Translation via a Dependent Syntax Language Model
Introduction
Process of Translation Decoding
Optimization of the Decoding Dependency Language Model
Statistical Language Model
Dependency Language Model and Training
Optimized for Decoder Figures
Experimental Results and Comparative Analysis
Conclusion and Outlook
References
Multi-task Learning for Word Alignment and Dependency Parsing
Introduction
Related Work
Multi-task Learning
Our Method
Model
Features for Word Alignment
Features for Dependent Parsing
Features for Both Alignment and Parsing
Experiments
Experiment Setting
Performance for Word Alignment and Dependency Parsing
Performance for Machine Translation
Conclusion
References
Nature Computation
3D Human Motion Retrieval Based on ISOMAP Dimension Reduction
Introduction
Related Work
The Description of Human Motion
Dimension Reduction
Index and Retrieval
Motion String Index
Clustering of Motions
Retrieval
Experimental Results
Conclusion
References
Biomimetic Pattern Face Recognition Based on DCT and LDA
Introduction
DCT, LDA, and Biomimetic Pattern Recognition
DCT
LDA
Biomimetic Pattern Recognition
Proposed Method
Extracting Sample Features of the Face Data-Base Using DCT and LDA
High Dimensional Space Cover
Algorithm Process
Experimental Results
Experiment on Yale Face Database
Experiment on ORL Face Database
Conclusions
References
Model Identification of Coal Main Fans in Mine Based on Neural Network
Introduction
The Main Fans System's Model Identification
Neural Network System Identification Theory
Error (BP) Neural Network Model Identification
Radiate Basis Function (RBF) Neural Network Model Identification
The Simulation Test Analysis of Experimental Results
BP Neural Network Simulation Test Results of the Experiment
RBF Neural Network Simulation Test Results of the Experiment
Conclusion
References
Multiscale Finite Element Methods for Heat Equation in Three Dimension Honeycomb Structure
Introduction
Multiscale Asymptotic Expansion of the Temperature Field
The Limit Case of the Average Thickness of the Cavity Walls 0
Finite Element Computation of the Cell Function N(y) in Y
Finite Element Computation of the Homogenized Equations
Multiscale Finite Element Algorithm Scheme and Error Estimates
References
Outlier-Tolerant Fitting and Online Diagnosis of Outliers in Dynamic Process Sampling Data Series
Introduction
Outlier-Tolerant Recursive Fitting
The Recursive LS Fitting
Outlier-Tolerance Improvement of the LS Fitting
Outlier-Tolerant Detection of Outliers
Outlier-Tolerant Identification of Outliers
Simulation
Conclusion
References
Cooperative Interactive Cultural Algorithms Based on Dynamic Knowledge Alliance
Introduction
Algorithm Description
Extraction and Utilization of Knowledge in ICAs
Construction of Dynamic Knowledge Alliances
Construction of Alliance Based on K-Means Clustering Method
Knowledge Migration Strategy
Simulation Results and Their Analysis
Conclusions
References
Group Search Optimizer with Interactive Dynamic Neighborhood
Introduction
Group Search Optimizer
Group Search optimizer with Interactive Dynamic Neighborhood
Simulation Results
Benchmark Function
Experimental Setting
Algorithm Performance Analysis
Conclusion
References
Identification of Parameters in Chemical Kinetics Usinga Hybrid Algorithm of Artificial Bee Colony Algorithm and Simplex
Introduction
Artificial Bee Colony Algorithm
Terms and Explanations of Algorithm
Steps of Algorithm [14]
Simplex Method
Steps of Algorithm [15]
Combination of ABC and Simplex
Applications of Examples and Analysis
Case1: Pyrolysis and Dehydrogenation of Benzene
Case2: Supercritical Water Oxidation
Conclusion
References
Extraction of Breast Cancer Areas in Mammography Using a Neural Network Based on Multiple Features
Introduction
Architecture of Neural Network Model
Algorithms for Extraction of Breast Cancer X-Ray Images
Experimental Results
Conclusion
References
Neural Computation
Software Dependability Metrics and Analysis Based on AADL Error Model
Introduction
Transition from Error Model to Expander Markov Chain
Dependability Metrics Based on AADL Error Model
Dependability Attribute Metrics Model Based on AADL Error Model
Dependability Attribute Metrics on Component-Level
Metrics of Dependability on System-Level
Case Study
Conclusion
References
Online Hand Gesture Recognition Using Surface Electromyography Based on Flexible Neural Trees
Introduction
Theory
Feature Selection of sEMG
Flexible Neural Trees
Methodology
The sEMG Signals Model
A Flexible Neural Tree Structure
Parameter Optimization with PSO
Results
Conclusion
References
A Saturation Binary Neural Network for Crossbar Switching Problem
Introduction
Saturation Binary Neural Network
Crossbar Switching Problem
Solving CSP Using SBNN
Simulation Result
Conclusion
References
Financial Data Forecasting by Evolutionary Neural Network Based on Ant Colony Algorithm
Introduction
Mathematic Description of Stock Market
Evolutionary Neural Network for Stock Market Prediction
Immune Continuous Ant Colony Algorithm
New Evolutionary Neural Network
Real Example
Conclusions
References
RVAB: Rational Varied-Depth Search in Siguo Game
Introduction
Dynamic Threshold
Reason Variable Depth Alpha Beta(RVAB)
Experiments and Discuss
Conclusion
References
Performance Modeling of Engine Based on Artificial Neural Networks
Introduction
Neural Network Identification Methods for Engine Performance
Back Propagation Neural Network (BPNN)
Radial Basis Function Neural Network (RBFNN)
Generalized Regression Neural Network (GRNN)
Performance Modeling of Engine
Settings of Neural Networks
Performance Models of Engine
Comparison Analysis
Conclusion
References
Approximation of Curves Contained on the Surface by Freed-Forward Neural Networks
Introduction
Related Work
Mathematical Preliminary and Problem Statement
Constructing Approximation Curve
Constructing Approximation Curve Based on Projection Points
Experimental Result
Conclusion
References
Attractors of Discrete Cellular Neural Networks
Introduction
Notations and Preliminaries
The k-Attractors
Conclusions
References
Neural Networks
Artificial Neural Networks Based War Scene Classification Using Various Feature Extraction Methods: A Comparative Study
Introduction
Feature Extraction Methodologies
Haar and Daubechies (db4) Wavelet
Zernike Moments
Invariant Moments
Gray Level Co-occurrence Matrix (GLCM)
Statistical Moments
Hybrid Features
Artificial Neural Networks
Proposed Work
Implementation Using ANN
Discussion
Conclusion
References
Resolve of Multicomponent Mixtures Using Voltammetry and a Hybrid Artificial Neural Network Method
Introduction
Theory
Generalized Regression Neural Network
Direct Orthogonal Signal Correction
Wavelet Multiscale and Data Fusion
DOSC-DF-GRNN Algorithm
Experimental
Results and Discussion
Wavelet Multiscale Properties
DOSC-DF-GRNN
A Comparison o f PLS, DOSC-DF-GRNN, DF-GRNN, DOSC-GRNN and GRNN
Conclusion
References
Application of Neural Network in Trajectory Planning of the Entry Vehicle for Variable Targets
Introduction
The Entry Dynamics
Entry Trajectory Constraints
Neural Network
Training
Testing
Conclusion
References
An Optimization Algorithm for WNN Based on Immune Particle Swarm
Introduction
Wavelet Neural Network
Basic PSO Algorithm
Artificial Immune Algorithm
IPSO and Application
Simulation and Analysis
Conclusions
References
A Study of Sudden Noise Resistance Based on Four-Layer Feed-Forward Neural Network Blind Equalization Algorithm
Introduction
Blind Equalization Algorithm of Four-Layer Feed Forward Neural Network
Four-Layer Feed Forward Neural Network Model
The Iterative Form of Four-Layer Feed-Forward Neural Network Blind Equalization Algorithm
Computer Simulations of Four-Layer Feed-Forward Neural Network Blind Equalization Algorithm
Conclusions
References
SVM Based MLP Neural Network Algorithm and Application in Intrusion Detection
Introduction
MLP Neural Network Model
SVMMLP Algorithm
Experiments
Conclusion
References
Training Neural Networks by Rational Weight Functions
Introduction
Architecture of Neural Networks
Principles of Neural Networks with Rational Weight Functions
Examples
Conclusions
References
An Efficient Graph Coloring Algorithm by Merging a Rapid Strategy into a Transiently Chaotic Neural Network with Hysteretic Output Function
Introduction
TCNN with Hysteretic Output Function for the Graph Coloring Problems
Merging a Rapid Strategy into HTCNN
Solving Graph Coloring Problems by Merging the Rapid Strategy into HTCNN
Conclusion
References
Study of Detection Method of Cashmere and Wool Based on Near Infrared Spectroscopy and Elman Neural Network
Introduction
Variable Structure Genetic Elman Neural Network based on Hybrid Genetic Algorithm
Elman Neural Network
Encoding Problem and Structure Adjustment
Fitness Function and Choose Operation
Crossover and Variation
Optimal Solution Store
Experiments on NIR Spectrum of Cashmere and Wool
Spectral Data Gathering and Pre-processing
Principal Components Analysis
Cashmere and Wool Detection Model
Conclusion
References
Research on Edge Detection Algorithm of Rotary Kiln Infrared Color Image
Introduction
Improved Standard Model of PCNN
Self-tuning of PCNN Parameters Based on Shuffled Frog Leaping Algorithm
Shuffled Frog Leaping Algorithm
Coding and Fitness Function
Algorithm Procedure
Simulation Results
Conclusions
References
LVQ Neural Network Based Classification Decision Approach to Mechanism Type in Conceptual Design
Introduction
Technical Preliminaries
Problem Statement
Decision Principle
Decision Process
Feature Digitization and Extraction for Typical Mechanism
LVQ Neural Network Based Decision Model
The Structure of Network Model
Learning and Simulation
Conclusion
References
Research of Bayesian Networks Application to Transformer Fault Diagnosis
Introduction
Bayesian Network
Introduction of Bayesian Network Toolbox
Transformer Fault Diagnosis Based on No-code Ratio Method and Bayesian Network
Determination of Attribute Variables, Fault Types, and the Training Sample Set
Bayesian Network Modeling for Transformer Fault Diagnosis by BNT
Fault Testing and Analysis of Application Example
Conclusions
References
A Noise-Robust Speech Recognition System Based on Wavelet Neural Network
Introduction
Presentation of ZCPA Feature
Constructing Wavelet Neural Network Model for Recognition System
Network Topology
Selecting Basis Function
Determining the Parameters of Network
Process of System Implementation and Results
Conclusion
References
Drop Fingerprint Recognition Based on Feature Extraction and Probabilistic Neural Networks
Introduction
Drop Fingerprint Feature Extraction by Waveform Analysis
Drop Fingerprint Pattern Recognition
Neural Networks Used in Drop Fingerprint
MATLAB Simulation
Conclusion
References
Particle Swarm Optimization
Bibliometric Analysis of Particle Swarm Optimization (PSO) Research 2000-2010
Introduction
Methodology
Results
Growth
Authorship
Citations
References
Countries of Origin
International Collaborations
Journals Keywords
Keywords
Conclusions
References
A Modified Quantum-Inspired Particle Swarm Optimization Algorithm
Introduction
Modified Quantum Particle Swarm Optimization Algorithm
Initialization
Quantum Observing Operator
Updating of the Quantum Angle
Experiments and Results
0-1 Knapsack Problem
Multidimensional Knapsack Problem
Conclusion
References
DHMM Speech Recognition Algorithm Based on Immune Particle Swarm Vector Quantization
Introduction
IPSO Algorithm
PSO Algorithm
IPSO Algorithm
DHMM Speech Recognition System
Experiment Methods and Results
Experimental Setup
Experimental Results and Analysis
Conclusion
References
Intelligent Tuning Method in Designing of Two-Degree-of-Freedom PID Regulator Parameters
Introduction
Particle Swarm Optimization
Design for 2-DOF PID Based on PSO
2-DOF PID Regulator
2-DOF Regulator Based on PSO
Simulation and Discussions on the Results
Conclusions
References
A Simple Way for Parameter Selection of Standard Particle Swarm Optimization
Introduction
Analysis of Particle Swarm Optimization
The Difference Equations of Standard PSO Algorithm
Dynamic Characteristic Analysis of Complex Eigenvalues
A New Simple Parameter Selection Guideline
Optimization Strategies and Experiment Results
Test Conditions
Experimental Results
Conclusion
References
Blind Source Separation Algorithm Based on PSO and Algebraic Equations of Order Two
Introduction
Model of Linear Mixed Blind Source Separation
Blind Separation Principle Based on Algebraic Equations of Order Two
Blind Source Separation Algorithm Based on PSO and Algebraic Equations of Order Two
PSO Algorithm
Solve Algebraic Equations of Order Two Using PSO
Simulation
Conclusion
References
Pattern Recognition
Human Action Recognition Based on Random Spectral Regression
Introduction
Related Research
Manifold Learning Algorithm Based on Random Spectral Regression
Gaussian Process Classification Based on the Feature of Temporal Series
Experiment
Performance Test Based on RSPR
Contrast and Analysis
Algorithm Robust Test
Conclusions
References
Wheeled Mobile Robot Control Based on SVM and Nonlinear Control Laws
Introduction
Mobile Robot Dynamic Model
Nonlinear Control Model
SVM Controller
Structure of Control System
Simulation
Conclusion
References
Image Recognition by Affine Tchebichef Moment Invariants
Introduction
Tchebichef Polynomials and Tchebichef Moments
Affine Tchebichef Moments Invariants
XYS Decomposition
XSR Decomposition
Experimental Results
Conclusions
References
Analysis of Conditional Independence Relationship and Applications Based on Layer Sorting in Bayesian Networks
Introduction
The Basic Concepts and Relation Works
Main Results and Proof
Applications and Discussion
References
Face Recognition Based on Real AdaBoost and Kalman Forecast
Introduction
Real AdaBoost Algorithm
Feature Calculation and Integral Image
Introduction of Real AdaBoost Algorithm
Kalman Forecast
Active Illumination
Experiment and Conclusion
References
A Complete Gradient Clustering Algorithm
Introduction
Statistical Kernel Estimators
Complete Gradient Clustering Algorithm
Formula of the Kernel Estimator
Setting a Stop Condition
Procedure for Creating Clusters and Assigning Particular Elements to Them
Analysis of Influence of the Values of Parameters on Results Obtained
Final Comments
References
Dimensionality Reduction with Category Information Fusion and Non-negative Matrix Factorization for Text Categorization
Introduction
Related Works
Dimensionality Reduction Method
Category Information Fusion
Orthogonal NMF
Dimensionality Reduction and TC
Experiments
Dataset
Evaluation Measures
Results and Analysis
Conclusions
References
Uncorrelated Neighborhood Preserving Projections for Face Recognition
Introduction
A Brief Review of NPP
Uncorrelated Neighborhood Preserving Projections
Experiment Results
Conclusions and Future Work
References
Extracting Hyponymy Patterns in Tibetan Language to Enrich Minority Languages Knowledge Base
Introduction
Multilingual Knowledge Base
Extracting Hyponymy Patterns in Tibetan Language
Hyponymy Pattern Definition
The Hyponymy Patterns
Extracting Hyponymy Patterns
Related Work
Conclusion and Future Work
References
Kernel Based Visual Tracking with Reasoning about Adaptive Distribution Image
Introduction
Image Probability Distribution
Kernel Based Visual Tracking
Image's Continuously Adaptive Distribution
Zeroth Moment of Probability Distribution Image
Tracking with Reasoning about Adaptive Distribution Image
Procedure of the Proposed Algorithm
Scale Updating Criteria
The Proposed Algorithm
Experimental Results
Conclusion and Discussion
References
A Novel Community Structure Detection Algorithm for Complex Networks Analysis Based on Coulomb's Law
Introduction
Force Mathematical Model
Description of Coulomb's Law
Force Model between Two Network Communities
Force between the Node and the Community
A Network Community Structure Detection Algorithm Based on Coulomb's Law
Community Initialization
Community Structure Detection Algorithm
ESFN Description and Data Representation
Experimental Results and Analysis
Girvan-Newman Algorithm
Experimental Results of Community Structure Detection Algorithm Based on Coulomb's Law
Experimental Results Analysis
Conclusion
References
Dynamic Texture Modeling Applied on Computer Vision Based Fire Recognition
Introduction
Dynamic Texture Models and Recognition Algorithm
LDS Model and NLDS Model
LDS and NLDS Based Dynamic Texture Recognition
Dynamic Texture Model with Multi-resolution Analysis
MRALDS Model
Dynamic Texture Recognition with MRALDS
Fire Recognition Framework with Dynamic Texture Analysis
Experimental Results
Conclusion
References
Adaptively Weighted Subpattern-Based Isometric Projection for Face Recognition
Introduction
Review of Isometric Projection
Adaptively Weighted Isometric Projection
Face Image Partition
Subpattern-Based IsoP and Contributions Computation
Face Recognition
Experiments
Conclusion
References
An Improvement to Matrix-Based LDA
Introduction
Two Available Matrix-Based LDA Algorithms
The First Matrix-Based LDA Algorithm
The Second Matrix-Based LDA Algorithm
The Scheme to Combine the First and Second Matrix-Based LDA Algorithms
Experiments
Conclusion
References
Weighted Principal Component Analysis
Introduction
Conventional PCA
WPCA
Experiments
Conclusions
References
Pattern Recognition of Hand Gesture Based on LVQ Neutral Network
Introduction
Methods of Implementation
sEMG Signal and Eigenvalue Extraction Based on RMS and MOV
The LVQ Neural Network Parameter Selection
Conclusion
References
Estimating the Fundamental Matrix Using Second-Order Cone Programming
Introduction
Optimization Algorithms
Experimental Evaluation
Conclusion
References
Rough Set Theory
Attribute Reduction in Incomplete Information Systems
Introduction
Paper Preparation
An Example
References
A Method of Uncertainty Measure in Set-Valued Ordered Information Systems
Introduction
Review on Rough Set and Shannon Entropy
Uncertainty Measure in Set-Valued Ordered Information Systems
Case Study
Conclusions
References
Rough Kernel Clustering Algorithm with Adaptive Parameters
Introduction
Related Basic Theory
Kernel Method
Rough k-Means Algorithm
Rough Kernel Clustering Algorithm with Adaptive Parameters
Main Idea
The Algorithm Proceeds
Experiments
Conclusions
References
Support Vector Machine
Soft Sensor Modeling and Simulation Research of Flotation Cleaned Coal Ash of Slime
Introduction
Least Square Support Vector Machines Modeling Principle [4,5]
Experimental Research on Flotation Process Cleaned Coal Ash Soft Sensor Modeling Subsidiary Variable Selection
Soft Sensor Modeling Performance Evaluation
LS-SVM Model Structure Establishment and Simulation Confirmation
Modeling Accuracy Research on Coal Property Change
Model Accuracy Research on Different Mine Pit Coal
Model Accuracy Research on Different Coal Bed
Conclusion
References
Support Vector Machines Based on Weighted Scatter Degree
Introduction
Background
Support Vector Machines
General Scaled SVM
Related Work
Our Proposed Method
Calculating Scatter Degree of Points
Calculating Weight of Points
Calculating ? according to Weighted Scatter Degree
Experiments
2-D Toy Data
Benchmarks
Conclusion
References
ICESat-GLAS-Based Forest Type Classification Using SVM
Introduction
Material and Methods
Status of the Study Area
Access of Lidar Data
Field Survey Data
Support Vector Classification
C-SVC Algorithm
Kernel Function
Data Processing
ICESat-GLAS Date Processing
Waveform Parameters Extraction and Processing
Result Analysis
Conclusion
References
Mine Working Face Gas Prediction Based on Weighted LS-SVM
Introduction
Basic Principle of LS-SVM and Weighted LS-SVM
Prediction Model Algorithm Steps
Example Analyses
Conclusions
References
Multi-spectral Remote Sensing Images Classification Method Based on SVC with Optimal Hyper-parameters
Introduction
Least Square Support Vector Machine
Hyper-parameters Selection Method of Support Vector Classification Based on Intelligent Optimization Algorithms
The Fitness Function
The Evolution Operations in Different Optimization Algorithms
Simulation and Analysis
Conclusions
References
Space Edge Detection Based SVM Algorithm
Introduction
Principle of Edge Detection
The Edge of the Object
Principle of Image Edge Detection
Preprocessing of Edge Detection in Vector Space
Vector Space Gridding
Vector Density Calculation
Vector Space Edge Detection
The Edge of Vector Space
The Method of Vector Space Edge Detection
Space Edge Detection Based SVM Algorithm
The Description of Space Edge Detection Based SVM
Simulations
Conclusions
References
Method for Determining Parameters of Posterior Probability SVM Based on Relative Cross Entropy
Introduction
Posterior Probability SVM Model
Method for Determining Model Parameters of Probability SVM Based on Relative Cross Entropy
Modeling on the Cross Entropy and Relative Cross Entropy for Classification Problem
Method for Determining Parameters of Probability SVM Model by Minimizing Relative Cross Entropy
Experimental Analysis
Conclusion
References
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Artificial Intelligence and Computational Intelligence

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