Advances in Neural Networks - ISNN 2006

This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 2831, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, UK, Ireland, Canada, USA, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).

Refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006

Volume III of a three-volume set presenting 616 revised papers

Coverage includes a broad range of topics

Inhalt
Transportation Systems.- Traffic Volume Forecasting Based on Wavelet Transform and Neural Networks.- Prediction of Railway Passenger Traffic Volume by means of LS-SVM.- Traffic Flow Modeling of Urban Expressway Using Artificial Neural Networks.- Radial Basis Function Network for Traffic Scene Classification in Single Image Mode.- A New Method for Traffic Signs Classification Using Probabilistic Neural Networks.- Detection for Triangle Traffic Sign Based on Neural Network.- Vanishing Point and Gabor Feature Based Multi-resolution On-Road Vehicle Detection.- Recognition of Road Signs with Mixture of Neural Networks and Arbitration Modules.- Vehicle Classification in Wireless Sensor Networks Based on Rough Neural Network.- Neural Network Approach to Identify Model of Vehicles.- An Intelligent Vehicle Security System Based on Modeling Human Driving Behaviors.- Adaptive Neural Network Control of Helicopters.- Communication Networks.- Modified Hopfield Neural Network for CDMA Multiuser Detection.- Blind Multiuser Detection Based on Kernel Approximation.- A Novel Blind Multiuser Detection Model over Flat Fast Fading Channels.- Robust Multiuser Detection Method Based on Neural-net Preprocessing in Impulsive Noise Environment.- Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.- Nonlinear Channel Equalization Using Concurrent Support Vector Machine Processor.- Recursive Complex Extreme Learning Machine with Widely Linear Processing for Nonlinear Channel Equalizer.- A Study on the Detection Algorithm of QPSK Signal Using TDNN.- The BP Network for Carrier Frequency Offset Estimation in OFDM-Based WLANs.- The LD-CELP Gain Filter Based on BP Neural Network.- A Neural Network Based Application Layer Multicast Routing Protocol.- A Neural Network Decision-Making Mechanism for Robust Video Transmission over 3G Wireless Network.- A Multilevel Quantifying Spread Spectrum PN Sequence Based on Chaos of Cellular Neural Network.- An Experimental Hyper-Chaos Spread Spectrum Communication System Based on CNN.- A Resource Allocating Neural Network Based Approach for Detecting End-to-End Network Performance Anomaly.- Recurrent Neural Network Inference of Internal Delays in Nonstationary Data Network.- Multiscale BiLinear Recurrent Neural Networks and Their Application to the Long-Term Prediction of Network Traffic.- Bandwidth Prediction and Congestion Control for ABR Traffic Based on Neural Networks.- Information Security.- Application of Neural Networks in Network Control and Information Security.- Enhancing the Transmission Security of Content-Based Hidden Biometric Data.- Building Lightweight Intrusion Detection System Based on Random Forest.- Intrusion Detection Based on Fuzzy Neural Networks.- Intrusion Detection Using PCASOM Neural Networks.- A Mutated Intrusion Detection System Using Principal Component Analysis and Time Delay Neural Network.- A Novel Intrusion Detection Model Based on Multi-layer Self-Organizing Maps and Principal Component Analysis.- A Modified RBF Neural Network for Network Anomaly Detection.- Anti-worm Immunization of Web System Based on Normal Model and BP Neural Network.- Data Hiding in Neural Network Prediction Errors.- The Minimum Detectable Capacity of Digital Image Information Hiding.- Robust Digital Image Watermarking Algorithm Using BPN Neural Networks.- A Novel Watermarking Method with Image Signature.- Robust Halftone Image Watermarking Scheme Based on Neural Networks.- A Blind Source Separation Based Multi-bit Digital Audio Watermarking Scheme.- A 2DPCA-Based Video Watermarking Scheme for Resistance to Temporal Desynchronization.- A Fast Decryption Algorithm for BSS-Based Image Encryption.- A Novel Cryptographic Scheme Based on Wavelet Neural Networks.- Combining RBF Neural Network and Chaotic Map to Construct Hash Function.- Multiple-Point Bit Mutation Method of Detector Generation for SNSD Model.- An Erotic Image Recognition Algorithm Based on Trunk Model and SVM Classification.- Fault Detection.- Sensor Validation Using Nonlinear Minor Component Analysis.- Fault Diagnosis with Enhanced Neural Network Modelling.- Fault Detection and Diagnosis Using Neural Network Design.- Certainty Improvement in Diagnosis of Multiple Faults by Using Versatile Membership Functions for Fuzzy Neural Networks.- Fault Detection of Reactive Ion Etching Using Time Series Neural Networks.- Intelligent Diagnostics for Sound Reproduction System by the Use of PEAQ.- Active Learning of Support Vector Machine for Fault Diagnosis of Bearings.- Growing Structure Multiple Model System Based Anomaly Detection for Crankshaft Monitoring.- Fault Diagnosis for Induction Machines Using Kernel Principal Component Analysis.- Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines.- Predictive Fault Detection and Diagnosis of Nuclear Power Plant Using the Two-Step Neural Network Models.- Kernel PCA Based Faults Diagnosis for Wastewater Treatment System.- Financial Analysis.- On the Symbolic Analysis of Market Indicators with the Dynamic Programming Approach.- Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy.- Stock Time Series Forecasting Using Support Vector Machines Employing Analyst Recommendations.- Stock Index Prediction Based on the Analytical Center of Version Space.- Comparison of Forecasting Performance of AR, STAR and ANN Models on the Chinese Stock Market Index.- Index Prediction of KOSPI 200 Based on Data Models and Knowledge Rules for Qualitative and Quantitative Approach.- Modular Neural Network Rule Extraction Technique in Application to Country Stock Cooperate Governance Structure.- A Hybrid Support Vector Machines and Discrete Wavelet Transform Model in Futures Price Forecasting.- A Novel Learning Network for Option Pricing with Confidence Interval Information.- An Adaptive BP Algorithm with Optimal Learning Rates and Directional Error Correction for Foreign Exchange Market Trend Prediction.- Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction.- Selection of the Appropriate Lag Structure of Foreign Exchange Rates Forecasting Based on Autocorrelation Coefficient.- Exchange Rate Forecasting Using Flexible Neural Trees.- Local Vo…