Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I (Lecture Notes in Computer Science, 4221). Questo articolo non è disponibile.Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I (Lecture Notes in Computer Science, 4221)

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.