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Advances in Natural Computation

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This book and its sister volumes, i. e. , LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference... Weiterlesen
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Beschreibung

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 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.- Cognitive Science.- 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.

Produktinformationen

Titel: Advances in Natural Computation
Untertitel: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
Editor:
EAN: 9783540283232
ISBN: 978-3-540-28323-2
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Informatik
Anzahl Seiten: 1302
Größe: H235mm x B235mm x T155mm
Jahr: 2005
Untertitel: Englisch
Auflage: 2005

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