Titel: Advances in Natural Computation
First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I.
'Lecture Notes in Computer Science'.
Herausgegeben von Lipo Wang, Ke Chen, Yew Soon Ong
17. August 2005 - kartoniert - 1302 Seiten
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.
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.
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 Eigenfaces: Classification with a Kernel-Based Nonlinear Representor.
Blind Extraction of Singularly Mixed Source Signals.
Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance.
Palmprint Recognition Based on Unsupervised Subspace Analysis.
A New Alpha Seeding Method for Support Vector Machine Training.
Multiple Acoustic Sources Location Based on Blind Source Separation.
Short-Term Load Forecasting Based on Self-organizing Map and Support Vector Machine.
A Multi-class Classifying Algorithm Based on Nonlinear Dimensionality Reduction and Support Vector Machines.
A VSC Scheme for Linear MIMO Systems Based on SVM.
Global Convergence of FastICA: Theoretical Analysis and Practical Considerations.
SVM Based Nonparametric Model Identification and Dynamic Model Control.
Learning SVM Kernel with Semi-definite Programming.
Weighted On-line SVM Regression Algorithm and Its Application.
Other Topics in Neural Network Models.
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs.
A Constructive Algorithm for Wavelet Neural Networks.
Stochastic High-Order Hopfield Neural Networks.
Predicting with Confidence - An Improved Dynamic Cell Structure.
An Efficient Score Function Generation Algorithm with Information Maximization.
A New Criterion on Exponential Stability of a Class of Discrete Cellular Neural Networks with Time Delay.
A Novel Local Connection Neural Network.
An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending.
A Fast Nonseparable Wavelet Neural Network for Function Approximation.
A Visual Cortex Domain Model for Illusory Contour Figures.
ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity.
Design and Implementation of the Individualized Intelligent Teachable Agent.
Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm.
Representation of a Physio-psychological Index Through Constellation Graphs.
Neural Network Based Emotion Estimation Using Heart Rate Variability and Skin Resistance.
Modeling Belief, Capability and Promise for Cognitive Agents - A Modal Logic Approach.
PENCIL: A Framework for Expressing Free-Hand Sketching in 3D.
Blocking Artifacts Measurement Based on the Human Visual System.
A Computation Model of Korean Lexical Processing.
Neuroanatomical Analysis for Onomatopoeia and Phainomime Words: fMRI Study.
Cooperative Aspects of Selective Attention.
Selective Attention Guided Perceptual Grouping Model.
Visual Search for Object Features.
Agent Based Decision Support System Using Reinforcement Learning Under Emergency Circumstances.
Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation.
Task-Oriented Sparse Coding Model for Pattern Classification.
Robust Face Recognition from One Training Sample per Person.
Chinese Word Sense Disambiguation Using HowNet.
Modeling Human Learning as Context Dependent Knowledge Utility Optimization.
Automatic Text Summarization Based on Lexical Chains.
A General fMRI Linear Convolution Model Based Dynamic Characteristic.
Neuroscience Informatics, Bioinformatics, and Bio-medical Engineering.
A KNN-Based Learning Method for Biology Species Categorization.
Application of Emerging Patterns for Multi-source Bio-Data Classification and Analysis.
Nonlinear Kernel MSE Methods for Cancer Classification.
Fusing Face and Fingerprint for Identity Authentication by SVM.
A New Algorithm of Multi-modality Medical Image Fusion Based on Pulse-Coupled Neural Networks.
Cleavage Site Analysis Using Rule Extraction from Neural Networks.
Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA.
Combined Kernel Function Approach in SVM for Diagnosis of Cancer.
Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing.
An Improved Adaptive RBF Network for Classification of Left and Right Hand Motor Imagery Tasks.
Similarity Analysis of DNA Sequences Based on the Relative Entropy.
Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study.
Blind Clustering of DNA Fragments Based on Kullback-Leibler Divergence.
Prediction of Protein Subcellular Locations Using Support Vector Machines.
Neuroinformatics Research in China- Current Status and Future Research Activities.
Australian Neuroinformatics Research - Grid Computing and e-Research.
Current Status and Future Research Activities in Clinical Neuroinformatics: Singaporean Perspective.
Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node.
Neural Network Applications: Communications and Computer Networks.
Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network.
A Fast Online SVM Algorithm for Variable-Step CDMA Power Control.
Fourth-Order Cumulants and Neural Network Approach for Robust Blind Channel Equalization.
Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network.
A Novel Remote User Authentication Scheme Using Interacting Neural Network.
Genetic Algorithm Simulated Annealing Based Clustering Strategy in MANET.
Neural Network Applications: Expert System and Informatics.
A Gradual Training Algorithm of Incremental Support Vector Machine Learning.
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification.
Research on the Decision Method for Enterprise Information Investment Based on IA-BP Network.
Process Control and Management of Etching Process Using Data Mining with Quality Indexes.
Automatic Knowledge Configuration by Reticular Activating System.
An Improved Information Retrieval Method and Input Device Using Gloves for Wearable Computers.
Research on Design and Implementation of the Artificial Intelligence Agent for Smart Home Based on Support Vector Machine.
A Self-organized Network for Data Clustering.
A General Criterion of Synchronization Stability in Ensembles of Coupled Systems and Its Application.
Complexity of Linear Cellular Automata over ? m .
Neural Network Applications: Financial Engineering.
Applications of Genetic Algorithm for Artificial Neural Network Model Discovery and Performance Surface Optimization in Finance.
Mining Data by Query-Based Error-Propagation.
The Application of Structured Feedforward Neural Networks to the Modelling of the Daily Series of Currency in Circulation.
Time Delay Neural Networks and Genetic Algorithms for Detecting Temporal Patterns in Stock Markets.
The Prediction of the Financial Time Series Based on Correlation Dimension.
Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data.
Toward Global Optimization of ANN Supported by Instance Selection for Financial Forecasting.
FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems.
Data Clustering with a Neuro-immune Network.