This book and its sister volumes, i. e. , LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference on Natural Computation (ICNC 2005), jointly held with the 2nd International Conference on Fuzzy S- tems and Knowledge Discovery (FSKD 2005, LNAI vols. 3613 and 3614) from 27 to 29 August 2005 in Changsha, Hunan, China. In its budding run, ICNC 2005successfullyattracted1887submissionsfrom32countries/regions(thejoint ICNC-FSKD 2005 received 3136 submissions). After rigorous reviews, 502 hi- quality papers, i. e. , 313 long papers and 189 short papers, were included in the ICNC 2005 proceedings, representing an acceptance rate of 26. 6%. The ICNC-FSKD 2005 featured the most up-to-date researchresults in c- putational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- ni?cant impact on the advancement of these important technologies. Speci?c areas included neural computation, quantum computation, evolutionary c- putation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, computation with words, fuzzy c- putation, granular computation, arti?cial life, swarm intelligence, ants colonies, arti?cial immune systems, etc. , with innovative applications to knowledge d- covery, ?nance, operations research, and more. In addition to the large number ofsubmitted papers,wewereblessedwiththepresenceoffourrenownedkeynote speakers and several distinguished panelists.

Inhalt
Neural Network Learning Algorithms.- A Novel Learning Algorithm for Wavelet Neural Networks.- Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network.- The Improved CMAC Model and Learning Result Analysis.- A New Smooth Support Vector Regression Based on ?-Insensitive Logistic Loss Function.- Neural Network Classifier Based on the Features of Multi-lead ECG.- A New Learning Algorithm for Diagonal Recurrent Neural Network.- Study of On-line Weighted Least Squares Support Vector Machines.- Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays.- Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence.- Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application.- An Evolved Recurrent Neural Network and Its Application.- Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction.- Active Learning for Probabilistic Neural Networks.- Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm.- A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps.- A Novel Intrusions Detection Method Based on HMM Embedded Neural Network.- Generate Different Neural Networks by Negative Correlation Learning.- New Training Method and Optimal Structure of Backpropagation Networks.- Learning Outliers to Refine a Corpus for Chinese Webpage Categorization.- Bio-kernel Self-organizing Map for HIV Drug Resistance Classification.- A New Learning Algorithm Based on Lever Principle.- An Effective Method to Improve Convergence for Sequential Blind Source Separation.- A Novel LDA Approach for High-Dimensional Data.- Research and Design of Distributed Neural Networks with Chip Training Algorithm.- Support Vector Regression with Smoothing Property.- A Fast SMO Training Algorithm for Support Vector Regression.- Rival Penalized Fuzzy Competitive Learning Algorithm.- A New Predictive Vector Quantization Method Using a Smaller Codebook.- Performance Improvement of Fuzzy RBF Networks.- Neural Network Architectures.- Universal Approach to Study Delayed Dynamical Systems.- Long-Range Connections Based Small-World Network and Its Synchronizability.- Double Synaptic Weight Neuron Theory and Its Application.- Comparative Study of Chaotic Neural Networks with Different Models of Chaotic Noise.- A Learning Model in Qubit Neuron According to Quantum Circuit.- An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function.- A General Procedure for Combining Binary Classifiers and Its Performance Analysis.- A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information.- Adaptive and Competitive Committee Machine Architecture.- An ART2/RBF Hybrid Neural Networks Research.- Complex Number Procedure Neural Networks.- Urban Traffic Signal Timing Optimization Based on Multi-layer Chaos Neural Networks Involving Feedback.- Research on a Direct Adaptive Neural Network Control Method of Nonlinear Systems.- Improving the Resultant Quality of Kohonen's Self Organizing Map Using Stiffness Factor.- A Novel Orthonormal Wavelet Network for Function Learning.- Fuzzy Back-Propagation Network for PCB Sales Forecasting.- An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction.- Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions.- Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture.- Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay.- Neurodynamics.- Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model.- An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks.- Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays.- Effect of Noises on Two-Layer Hodgkin-Huxley Neuronal Network.- Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm.- Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses.- A Chaotic Model of Hippocampus-Neocortex.- Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function.- Learning Algorithm for Spiking Neural Networks.- Exponential Convergence of Delayed Neural Networks.- A Neural Network for Constrained Saddle Point Problems: An Approximation Approach.- Implementing Fuzzy Reasoning by IAF Neurons.- A Method for Quantifying Temporal and Spatial Patterns of Spike Trains.- A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-Scale Neuronal Population.- Study on Circle Maps Mechanism of Neural Spikes Sequence.- Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling.- Statistical Neural Network Models and Support Vector Machines.- A Simple Quantile Regression via Support Vector Machine.- Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.- Support Vector Based Prototype Selection Method for Nearest Neighbor Rules.- A Prediction Interval Estimation Method for KMSE.- An Information-Geometrical Approach to Constructing Kernel in Support Vector Regression Machines.- Training Data Selection for Support Vector Machines.- Model Selection for Regularized Least-Squares Classification.- Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space.- Least-Squares Wavelet Kernel Method for Regression Estimation.- Fuzzy Support Vector Machines Based on ?Cut.- Mixtures of Kernels for SVM Modeling.- A Novel Parallel Reduced Support Vector Machine.- Recurrent Support Vector Machines in Reliability Prediction.- A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE.- Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network.- Uncertainty Support Vector Method for Ordinal Regression.- An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition.- Eigenspectra Versus Ei…