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Advances in Neural Networks - ISNN 2006

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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

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 Volatility Function Approximation Using Reconstructed Radial Basis Function Networks.- Neuroinformatics.- Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis.- Multichannel Classification of Single EEG Trials with Independent Component Analysis.- Application of SVM Framework for Classification of Single Trial EEG.- Normal and Hypoxia EEG Recognition Based on a Chaotic Olfactory Model.- Nonlinear Dynamics of EEG Signal Based on Coupled Network Lattice Model.- ICA-Based EEG Spatio-temporal Dipole Source Localization: A Model Study.- Networking Property During Epileptic Seizure with Multi-channel EEG Recordings.- Time-Frequency Analysis of EEG Based on Event Related Cognitive Task.- Adaptable Noise Reduction of ECG Signals for Feature Extraction.- Mining the Independent Source of ERP Components with ICA Decomposition.- Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization.- Automatic Segmentation of Putamen from Brain MRI.- A Neural Network Model for the Estimation of Time-to-Collision.- Classification of Movement-Related Potentials for Brain-Computer Interface: A Reinforcement Training Approach.- Bioinformatics.- Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis.- Interpreting Gene Profiles from Biomedical Literature Mining with Self Organizing Maps.- Mining Protein Interaction from Biomedical Literature with Relation Kernel Method.- A Study of Particle Swarm Optimization in Gene Regulatory Networks Inference.- Support Vector Machine Approach for Retained Introns Prediction Using Sequence Features.- Prediction of Protein-Protein Interface Residues Using Sequence Neighborhood and Surface Properties.- Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine.- Prediction of Protein Domains from Sequence Information Using Support Vector Machines.- Using a Neural Networking Method to Predict the Protein Phosphorylation Sites with Specific Kinase.- Neural Feature Association Rule Mining for Protein Interaction Prediction.- Prediction of Contact Maps Using Modified Transiently Chaotic Neural Network.- Identification of Cell-Cycle Phases Using Neural Network and Steerable Filter Features.- Prediction of the Human Papillomavirus Risk Types Using Gap-Spectrum Kernels.- Extreme Learning Machine for Predicting HLA-Peptide Binding.- Identifying Transcription Factor Binding Sites Based on a Neural Network.- TSFSOM: Transmembrane Segments Prediction by Fuzzy Self-Organizing Map.- Biomedical Applications.- Analysis of Multifibre Renal Sympathetic Nerve Recordings.- A New Color Blindness Cure Model Based on BP Neural Network.- Design of RBF Network Based on Fuzzy Clustering Method for Modeling of Respiratory System.- Recognition of Fatty Liver Using Hybrid Neural Network.- A Novel Fast Fuzzy Neural Network Backpropagation Algorithm for Colon Cancer Cell Image Discrimination.- Poultry Skin Tumor Detection in Hyperspectral Images Using Radial Basis Probabilistic Neural Network.- Combination of Network Construction and Cluster Analysis and Its Application to Traditional Chinese Medicine.- Differentiation of Syndromes with SVM.- Neural Network Based Posture Control of a Human Arm Model in the Sagittal Plane.- Industrial Applications.- Neural Network Models for Transforming Consumer Perception into Product Form Design.- 2D Pattern Design of Upper Outer from 3D Specification Based on Neural Networks.- Design of a Broadband Microwave Amplifier Using Neural Performance Data Sheets and Very Fast Simulated Reannealing.- An Intelligent System for the Heatsink Design.- Learning Shape for Jet Engine Novelty Detection.- Support Vector Machine in Novelty Detection for Multi-channel Combustion Data.- A Levinson Predictor Based Compensatory Fuzzy Neural Network and Its Application in Crude Oil Distillation Process Modeling.- Laminar Cooling Process Model Development Using RBF Networks.- Hybrid Intelligent Control Strategy of the Laminar Cooling Process.- Application of Adaptable Neural Networks for Rolling Force Set-Up in Optimization of Rolling Schedules.- Multiple Neural Network Modeling Method for Carbon and Temperature Estimation in Basic Oxygen Furnace.- Air-Fuel-Ratio Optimal Control of a Gas Heating Furnace Based on Fuzzy Neural Networks.- An Evolutionary Hybrid Model for the Prediction of Flow Stress of Steel.- Meta-Learning Evolutionary Artificial Neural Network for Selecting Flexible Manufacturing Systems.- A Multi-Criteria Decision Making Procedure Based on Neural Networks for Kanban Allocation.- On-Line Measurement of Production Plan Track Based on Extension Matter-Element Theory.- Modeling and Optimization of High-Technology Manufacturing Productivity.- Scheduling of Re-entrant Lines with Neuro-Dynamic Programming Based on a New Evaluating Criterion.- A Constraint Satisfaction Adaptive Neural Network with Dynamic Model for Job-Shop Scheduling Problem.- Neural Network Based Industrial Processes Monitoring.- A New Method for Process Monitoring Based on Mixture Probabilistic Principal Component Analysis Models.- On-Line Nonlinear Process Monitoring Using Kernel Principal Component Analysis and Neural Network.- On-Line Batch Process Monitoring Using Multiway Kernel Independent Component Analysis.- Tool Wear Monitoring Using FNN with Compact Support Gaussian Function.- Intelligent Classification of Cutting Tool Wear States.- Neural Networks-Based In-Process Surface Roughness Adaptive Control System in Turning Operations.- Modeling of Micro Spring Tension Force for Vertical Type Probe Card Fabrication.- Identification of Crack Location and Depth in Rotating Machinery Based on Artificial Neural Network.- Natural Color Recognition Using Fuzzification and a Neural Network for Industrial Applications.- Design of a High Precision Temperature Measurement System.- Integrating Computational Fluid Dynamics and Neural Networks to Predict Temperature Distribution of the Semiconductor Chip with Multi-heat Sources.- Modeling and Characterization of Plasma Processes Using Modular Neural Network.- Prediction of Plasma Enhanced Deposition Process Using GA-Optimized GRNN.- Prediction of Radio Frequency Impedance Matching in Plasma Equipment Using Neural Network.- Recognition of Plasma-Induced X-Ray Photoelectron Spectroscopy Fault Pattern Using Wavelet and Neural Network.- Polynomial Neural Network Modeling of Reactive Ion Etching Process Using GMDH Method.- Wafer Yield Estimation Using Support Vector Machines.- Dynamic Soft-Sensing Model by Combining Diagonal Recurrent Neural Network with Levinson Predictor.- Thermal Properties Reduced Models by ANN in Process Simulation.- Nonlinear Identification of a PEM Fuel Cell Humidifier Using Wavelet Networks.- Application of RBF Neural Networks Based on a New Hybrid Optimization Algorithm in Flotation Process.- Estimation of Some Crucial Variables in Erythromycin Fermentation Process Based on ANN Left-Inversion.- The Control of Membrane Thickness in PECVD Process Utilizing a Rule Extraction Technique of Neural Networks.- PCA-Based Neural Network Modeling Using the Photoluminescence Data for Growth Rate of ZnO Thin Films Fabricated by Pulsed Laser Deposition.- Wood Defects Classification Using a SOM/FFP Approach with Minimum Dimension Feature Vector.- A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production.- Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types.- Product Quality Prediction with Support Vector Machines.- Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process.- A Sub-stage Moving Window GRNN Quality Prediction Method for Injection Molding Processes.- Joint Time-Frequency and Kernel Principal Component Based SOM for Machine Maintenance.- Other Applications.- Automatic Recognition and Evaluation of Natural Language Commands.- Natural Language Human-Machine Interface Using Artificial Neural Networks.- Implementing a Chinese Character Browser Using a Topography-Preserving Map.- A Soft Computing Method of Economic Contribution Rate of Education: A Case of China.- Improving Population Estimation with Neural Network Models.- Application of Fuzzy Neural Network for Real Estate Prediction.- Local Neural Networks of Space-Time Predicting Modeling for Lattice Data in GIS.- Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble.- A Fast Cloud Detection Approach by Integration of Image Segmentation and Support Vector Machine.- Application of Support Vector Machines to Vapor Detection and Classification for Environmental Monitoring of Spacecraft.- Artificial Neural Network Methodology for Three-Dimensional Seismic Parameters Attenuation Analysis.- Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble.- An Expert System Based on BP Neural Networks for Pre-splitting Blasting Design.- Surface Reconstruction Based on Radial Basis Functions Network.- Determination of Gas and Water Volume Fraction in Oil Water Gas Pipe Flow Using Neural Networks Based on Dual Modality Densitometry.- Application of Neural Network in Metal Loss Evaluation for Gas Conducting Pipelines.- Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant.- Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester.- Application of Artificial Neural Network in Countercurrent Spray Saturator.- Wavelet Neural Networks Approach for Dynamic Measuring Error Decomposition.- Maneuvering Target Tracking Based on Unscented Particle Filter Aided by Neutral Network.- Application of Principal Component-Artificial Neural Networks in Near Infrared Spectroscopy Quantitative Analysis.- Application of Neural Networks for Integrated Circuit Modeling.- Power Estimation of CMOS Circuits by Neural Network Macromodel.- Hardware Implementation.- An Efficient Hardware Architecture for a Neural Network Activation Function Generator.- A Design and Implementation of Reconfigurable Architecture for Neural Networks Based on Systolic Arrays.- Hardware In-the-Loop Training of Analogue Neural Network Chip.- Implementation of a Neural Network Processor Based on RISC Architecture for Various Signal Processing Applications.- Fully-Pipelining Hardware Implementation of Neural Network for Text-Based Images Retrieval.- FPGA Implementation of a Neural Network for Character Recognition.- A Silicon Synapse Based on a Charge Transfer Device for Spiking Neural Network Application.- Effect of Steady and Relaxation Oscillations in Brillouin-Active Fiber Structural Sensor Based Neural Network in Smart Structures.- A Novel All-Optical Neural Network Based on Coupled Ring Lasers.


Titel: Advances in Neural Networks - ISNN 2006
Untertitel: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III
EAN: 9783540344827
ISBN: 978-3-540-34482-7
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Informatik
Anzahl Seiten: 1402
Größe: H235mm x B235mm x T155mm
Jahr: 2006
Untertitel: Englisch
Auflage: 2006

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