The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009.
The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.
Klappentext
This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26-29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.
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Fuzzy Systems and Fuzzy Neural Networks.- Online FCMAC-BYY Model with Sliding Window.- Automated Sealed-Bid Negotiation Model for Multi-issue Based on Fuzzy Method.- Fuzzy Two-Stage Supply Chain Problem and Its Intelligent Algorithm.- Modeling Fuzzy DEA with Type-2 Fuzzy Variable Coefficients.- Research on Fuzzy Control Methods for Suspension Density and Liquid Levels in Dense-Medium Separation.- Fuzzy Chance-Constrained Goal Programming Model and Algorithm of Oilfield Measures.- Concept Lattices in L-Rough Sets.- Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times.- Intelligent Client-Side Web Caching Scheme Based on Least Recently Used Algorithm and Neuro-Fuzzy System.- The Expected Value of Imperfect Information to Fuzzy Programming.- Rule Extraction and Reduction for Hyper Surface Classification.- An Online Self-constructing Fuzzy Neural Network with Restrictive Growth.- Study on the Offset Color Reproduction Control System Based on Fuzzy Neural Network.- A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule Modules.- Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization.- Fuzzy C-Means Cluster Segmentation Algorithm Based on Modified Membership.- A Study on Improved Fuzzy Neural Network Controller for Air-Condition with Frequency Change.- Fuzzy Neural Network Based on Improved T-S Model and Its Application.- Application of Artificial Intelligence Technique in Distributed Generation System.- An ANFIS Based Fuzzy Synthesis Judgment for Transformer Fault Diagnosis.- Fusion Algorithm Based on the Intuitionistic Fuzzy Set and Multiple Neural Network.- Supporting E-Learning System with Modified Bayesian Rough Set Model.- Fuzzy Neural Network with a Fuzzy Learning Rule Emphasizing Data Near Decision Boundary.- Investigation of Fuzzy Adaptive Resonance Theory in Network Anomaly Intrusion Detection.- Stability of Switched Cellular Neural Networks with Flat Fuzzy Feedback Min and Max Templates.- Support Vector Machines and Kernel Methods.- Analog Circuit Fault Fusion Diagnosis Method Based on Support Vector Machine.- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Support Vector Machines.- A Short-Term Load Forecasting Model Based on LS-SVM Optimized by Dynamic Inertia Weight Particle Swarm Optimization Algorithm.- A Maximum Class Distance Support Vector Machine-Based Algorithm for Recursive Dimension Reduction.- Extraction of the Reduced Training Set Based on Rough Set in SVMs.- An Improved Support Vector Machine Classifier for EEG-Based Motor Imagery Classification.- Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning.- Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection.- Finite Element Model Updating Based on Least Squares Support Vector Machines.- Polarization Radar HRRP Recognition Based on Kernel Methods.- Robust Unsupervised and Semi-supervised Bounded ? ? Support Vector Machines.- Time Series Prediction Based on Generalization Bounds for Support Vector Machine.- A Parallel Implementation of Error Correction SVM with Applications to Face Recognition.- Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.- Probabilistic Ranking Support Vector Machine.- Classification of Single-Trial EEG Based on Support Vector Clustering during Finger Movement.- Study of Double SMO Algorithm Based on Attributes Reduction.- Classification of Hepatic Tissues from CT Images Based on Texture Features and Multiclass Support Vector Machines.- Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.- Artificial Neural Network and Hidden Space SVM for Fault Detection in Power System.- Reordering Sparsification of Kernel Machines in Approximate Policy Iteration.- Three-State Financial Distress Prediction Based on Support Vector Machine.- Wavelet Neural Networks and Support Vector Machine for Financial Distress Prediction Modelling: The Chinese Case.- Genetic Algorithms.- Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms.- A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets.- A Hybrid Algorithm of GA Wavelet-BP Neural Networks to Predict Near Space Solar Radiation.- Research a Novel Optimization Mechanism of Parameters Based on Hybrid NN and GA.- A Novel Hybrid Evolution Algorithm Based on Agent Behavior and Paradigm Learning.- An Effective Hybrid GA-PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting.- An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm.- Dynamic Structure-Based Neural Networks Determination Approach Based on the Orthogonal Genetic Algorithm with Quantization.- A Novel Weight-Based Immune Genetic Algorithm for Multiobjective Optimization Problems.- Proportional Fair Scheduling Based on Genetic Algorithms for Multi-user MIMO Systems.- Enhance Neural Networks Training Using GA with Chaos Theory.- Study on the GA-Based Decoding Algorithm for Convolutional Turbo Codes.- Economic Power Dispatch with Environmental Constraints Using a Novel Hybrid Evolutionary Programming.- Use of Ensemble Based on GA for Imbalance Problem.- Research and Application of Urban Logistics Demand Forecast Based on High Speed and Precise Ge…