Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I by Licheng JiaoAdvances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I by Licheng Jiao

Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China…

byLicheng JiaoEditorLipo Wang, Xinbo Gao

Paperback | September 19, 2006

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This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.

Title:Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China…Format:PaperbackDimensions:992 pages, 23.5 × 15.5 × 0.07 inPublished:September 19, 2006Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540459014

ISBN - 13:9783540459019

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Table of Contents

Artificial Neural Networks.- Hypersphere Support Vector Machines Based on Multiplicative Updates.- The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance.- Gabor Feature Based Classification Using LDA/QZ Algorithm for Face Recognition.- Breast Cancer Detection Using Hierarchical B-Spline Networks.- Ensemble-Based Discriminant Manifold Learning for Face Recognition.- Perceptual Learning Inspired Model Selection Method of Neural Networks.- Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure.- A Sparse Kernel-Based Least-Squares Temporal Difference Algorithm for Reinforcement Learning.- Independent Component Analysis Based Blind Deconvolution of Spectroscopic Data.- Parameterized Semi-supervised Classification Based on Support Vector for Multi-relational Data.- Credit Scoring Model Based on Neural Network with Particle Swarm Optimization.- A Novel CFNN Model for Designing Complex FIR Digital Filters.- SAPSO Neural Network for Inspection of Non-development Hatching Eggs.- Research on Stereographic Projection and It's Application on Feed Forward Neural Network.- Fuzzy CMAC with Online Learning Ability and Its Application.- Multiresolution Neural Networks Based on Immune Particle Swarm Algorithm.- Multicategory Classification Based on the Hypercube Self-Organizing Mapping (SOM) Scheme.- Increased Storage Capacity in Hopfield Networks by Small-World Topology.- Associative Memory with Small World Connectivity Built on Watts-Strogatz Model.- A Hopfiled Neural Network Based on Penalty Function with Objective Parameters.- Study on Discharge Patterns of Hindmarsh-Rose Neurons Under Slow Wave Current Stimulation.- Proximal SVM Ensemble Based on Feature Selection.- Exact Semismooth Newton SVM.- General Kernel Optimization Model Based on Kernel Fisher Criterion.- A Novel Multiple Support Vector Machines Architecture for Chaotic Time Series Prediction.- Robust LS-SVM Regression Using Fuzzy C-Means Clustering.- Support Vector Regression Based on Unconstrained Convex Quadratic Programming.- Base Vector Selection for Support Vector Machine.- How to Stop the Evolutionary Process in Evolving Neural Network Ensembles.- Stable Robust Control for Chaotic Systems Based on Linear-Paremeter-Neural-Networks.- Natural Neural Systems and Cognitive Science.- Applications of Granger Causality Model to Connectivity Network Based on fMRI Time Series.- A Spiking Neuron Model of Theta Phase Precession.- Suprathreshold Stochastic Resonance in Single Neuron Using Sinusoidal Wave Sequence.- Phase Coding on the Large-Scaled Neuronal Population Subjected to Stimulation.- Coherent Sources Mapping by K-Means Cluster and Correlation Coefficient.- Measuring Usability: Use HMM Emotion Method and Parameter Optimize.- Affective Computing Model Based on Emotional Psychology.- Locating Salient Edges for CBIR Based on Visual Attention Model.- "What" and "Where" Information Based Attention Guidance Model.- Emotion Social Interaction for Virtual Characters.- Biologically Inspired Bayes Learning and Its Dependence on the Distribution of the Receptive Fields.- Neural Network Applications.- Using PCA-Based Neural Network Committee Model for Early Warning of Bank Failure.- Theoretical Derivation of Minimum Mean Square Error of RBF Based Equalizer.- A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting.- Empirical Study of Financial Affairs Early Warning Model on Companies Based on Artificial Neural Network.- Rolling Bearings Fault Diagnosis Based on Adaptive Gaussian Chirplet Spectrogram and Independent Component Analysis.- T-Test Model for Context Aware Classifier.- Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model.- A Hybrid Bayesian Optimal Classifier Based on Neuro-fuzzy Logic.- Face Detection Using Kernel PCA and Imbalanced SVM.- Neural Networks Based Structural Model Updating Methodology Using Spatially Incomplete Accelerations.- Appearance-Based Gait Recognition Using Independent Component Analysis.- Combining Apriori Algorithm and Constraint-Based Genetic Algorithm for Tree Induction for Aircraft Electronic Ballasts Troubleshooting.- Container Image Recognition Using ART2-Based Self-organizing Supervised Learning Algorithm.- Fingerprint Classification by SPCNN and Combined LVQ Networks.- Gait Recognition Using Hidden Markov Model.- Neurocontroller Via Adaptive Learning Rates for Stable Path Tracking of Mobile Robots.- Neuro-PID Position Controller Design for Permanent Magnet Synchronous Motor.- Robust Stability of Nonlinear Neural-Network Modeled Systems.- Effects of Using Different Neural Network Structures and Cost Functions in Locomotion Control.- Humanoid Robot Behavior Learning Based on ART Neural Network and Cross-Modality Learning.- An Online Blind Source Separation for Convolutive Acoustic Signals in Frequency-Domain.- GPS/INS Navigation Filter Designs Using Neural Network with Optimization Techniques.- An Adaptive Image Segmentation Method Based on a Modified Pulse Coupled Neural Network.- A Edge Feature Matching Algorithm Based on Evolutionary Strategies and Least Trimmed Square Hausdorff Distance.- Least Squares Interacting Multiple Model Algorithm for Passive Multi-sensor Maneuvering Target Tracking.- Multiple Classifiers Approach for Computational Efficiency in Multi-scale Search Based Face Detection.- A Blind Watermarking Algorithm Based on HVS and RBF Neural Network for Digital Image.- Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm.- On-Line Signature Verification Based on Dynamic Bayesian Network.- Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.- A New Time Series Forecasting Approach Based on Bayesian Least Risk Principle.- Feature Reduction Techniques for Power System Security Assessment.- Harmonic Source Model Based on Support Vector Machine.- Sound Quality Evaluation Based on Artificial Neural Network.- SOC Dynamic Power Management Using Artificial Neural Network.- Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN.- A Comparison of Competitive Neural Network with Other AI Techniques in Manufacturing Cell Formation.- Intelligent Natural Language Processing.- Optimal Clustering-Based ART1 Classification in Bioinformatics: G-Protein Coupled Receptors Classification.- Trawling Pattern Analysis with Neural Classifier.- Model Optimization of Artificial Neural Networks for Performance Predicting in Spot Welding of the Body Galvanized DP Steel Sheets,.- Evolutionary Computation: Theory and Algorithms.- Robust Clustering Algorithms Based on Finite Mixtures of Multivariate t Distribution.- A Hybrid Algorithm for Solving Generalized Class Cover Problem.- Cooperative Co-evolutionary Approach Applied in Reactive Power Optimization of Power System.- Evolutionary Algorithms for Group/Non-group Decision in Periodic Boundary CA.- A Fuzzy Intelligent Controller for Genetic Algorithms' Parameters.- An Interactive Preference-Weight Genetic Algorithm for Multi-criterion Satisficing Optimization.- A Uniform-Design Based Multi-objective Adaptive Genetic Algorithm and Its Application to Automated Design of Electronic Circuits.- The Research on the Optimal Control Strategy of a Serial Supply Chain Based on GA.- A Nested Genetic Algorithm for Optimal Container Pick-Up Operation Scheduling on Container Yards.- A Genetic Algorithm for Scale-Based Product Platform Planning.- A Pattern Based Evolutionary Approach to Prediction Computation in XCSF.- Genetic Algorithm Based on the Orthogonal Design for Multidimensional Knapsack Problems.- A Markov Random Field Based Hybrid Algorithm with Simulated Annealing and Genetic Algorithm for Image Segmentation.- Genetic Algorithm Based Fine-Grain Sleep Transistor Insertion Technique for Leakage Optimization.- Self-adaptive Length Genetic Algorithm for Urban Rerouting Problem.- A Global Archive Sub-Population Genetic Algorithm with Adaptive Strategy in Multi-objective Parallel-Machine Scheduling Problem.- A Penalty-Based Evolutionary Algorithm for Constrained Optimization.- Parallel Hybrid PSO-GA Algorithm and Its Application to Layout Design.- Knowledge-Inducing Interactive Genetic Algorithms Based on Multi-agent.- Concurrent Design of Heterogeneous Object Based on Method of Feasible Direction and Genetic Algorithm.- Genetic Algorithm-Based Text Clustering Technique.- On Directed Edge Recombination Crossover for ATSP.- Research on the Convergence of Fuzzy Genetic Algorithm Based on Rough Classification.- Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model.- Make Fast Evolutionary Programming Robust by Search Step Control.- Improved Approach of Genetic Programming and Applications for Data Mining.- Niching Clonal Selection Algorithm for Multimodal Function Optimization.- A New Macroevolutionary Algorithm for Constrained Optimization Problems.- Clonal Selection Algorithm with Search Space Expansion Scheme for Global Function Optimization.- Network Evolution Modeling and Simulation Based on SPD.- Intelligent Optimization Algorithm Approach to Image Reconstruction in Electrical Impedance Tomography.- A Framework of Oligopolistic Market Simulation with Coevolutionary Computation.- Immune Clonal MO Algorithm for 0/1 Knapsack Problems.- Training Neural Networks Using Multiobjective Particle Swarm Optimization.- New Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems.- Simulation for Interactive Markov Chains.- On Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism and Its Convergence.- Self-Organization Particle Swarm Optimization Based on Information Feedback.- An Evolving Wavelet-Based De-noising Method for the Weigh-In-Motion System.- SAR Image Classification Based on Clonal Selection Algorithm.- Crossed Particle Swarm Optimization Algorithm.- A Dynamic Convexized Function with the Same Global Minimizers for Global Optimization.- Clonal Selection Algorithm with Dynamic Population Size for Bimodal Search Spaces.- Quantum-Behaved Particle Swarm Optimization with Adaptive Mutation Operator.- An Improved Ordered Subsets Expectation Maximization Reconstruction.- Self-Adaptive Chaos Differential Evolution.- Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution.- Liquid State Machine by Spatially Coupled Oscillators.