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Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part III: Lecture Notes in Computer Science, cartea 5553

Editat de Wen Yu, Haibo He, Nian Zhang
en Limba Engleză Paperback – 8 mai 2009
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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Specificații

ISBN-13: 9783642015120
ISBN-10: 3642015123
Pagini: 1251
Ilustrații: LVI, 1245 p. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 x 50 mm
Greutate: 1.97 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Descriere

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.

Cuprins

Optimization.- A Modified Projection Neural Network for Linear Variational Inequalities and Quadratic Optimization Problems.- Diversity Maintenance Strategy Based on Global Crowding.- Hybrid Learning Enhancement of RBF Network Based on Particle Swarm Optimization.- Chaos Cultural Particle Swarm Optimization and Its Application.- Application of Visualization Method to Concrete Mix Optimization.- A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network.- A Revised Neural Network for Solving Quadratic Programming Problems.- The Separation Property Enhancement of Liquid State Machine by Particle Swarm Optimization.- A Class of New Large-Update Primal-Dual Interior-Point Algorithms for Linear Complementarity Problems.- A Novel Artificial Immune System for Multiobjective Optimization Problems.- A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications.- Evolutionary Markov Games Based on Neural Network.- Another Simple Recurrent Neural Network for Quadratic and Linear Programming.- A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy.- Structure Optimization Algorithm for Radial Basis Probabilistic Neural Networks Based on the Moving Median Center Hyperspheres Algorithm.- Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm.- Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set.- Robotics.- A Robust Non-Line-Of-Sight Error Mitigation Method in Mobile Position Location.- Research on SSVEP-Based Controlling System of Multi-DoF Manipulator.- Tracking Control of Robot Manipulators via Orthogonal Polynomials Neural Network.- Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment.- Research on Mobile Robot’s Motion Control and Path Planning.- A New Cerebellar Model Articulation Controller for Rehabilitation Robots.- Layer-TERRAIN: An Improved Algorithm of TERRAIN Based on Sequencing the Reference Nodes in UWSNs.- A Hybrid Neural Network Method for UAV Attack Route Integrated Planning.- Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision.- FCMAC Based Guidance Law for Lifting Reentry Vehicles.- Hybrid Filter Based Simultaneous Localization and Mapping for a Mobile Robot.- Using Toe-Off Impulse to Control Chaos in the Simplest Walking Model via Artificial Neural Network.- Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration.- Image Processing.- A Simple Neural Network for Enhancement of Image Acuity by Fixational Instability.- A General-Purpose FPGA-Based Reconfigurable Platform for Video and Image Processing.- Image Analysis by Modified Krawtchouk Moments.- Efficient Provable Secure ID-Based Directed Signature Scheme without Random Oracle.- Mask Particle Filter for Similar Objects Tracking.- An Efficient Wavelet Based Feature Extraction Method for Face Recognition.- Face Recognition Based on Histogram of Modular Gabor Feature and Support Vector Machines.- Feature-Level Fusion of Iris and Face for Personal Identification.- Watermark Image Restoration Method Based on Block Hopfield Network.- An English Letter Recognition Algorithm Based Artificial Immune.- Interpretation of Ambiguous Zone in Handwritten Chinese Character Images Using Bayesian Network.- Weather Recognition Based on Images Captured by Vision System in Vehicle.- Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.- Face Image Recognition Combining Holistic and Local Features.- 3D Representative Face and Clustering Based Illumination Estimation for Face Recognition and Expression Recognition.- Bilateral Two-Dimensional Locality Preserving Projections with Its Application to Face Recognition.- DT-CWT Feature Structure Representation for Face Recognition under Varying Illumination Using EMD.- Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties.- Nonnegative-Least-Square Classifier for Face Recognition.- A Novel Model for Recognition of Compounding Nouns in English and Chinese.- Orthogonal Quadratic Discriminant Functions for Face Recognition.- LISA: Image Compression Scheme Based on an Asymmetric Hierarchical Self-Organizing Map.- A Method of Human Skin Region Detection Based on PCNN.- An Adaptive Hybrid Filtering for Removing Impulse Noise in Color Images.- A Multi-Stage Neural Network Model for Human Color Vision.- Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities.- Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns.- Signal Processing.- A Novel Method for Analyzing Dynamic Complexity of EEG Signals Using Symbolic Entropy Measurement.- Phase Self-amending Blind Equalization Algorithm Using Feedforward Neural Network for High-Order QAM Signals in Underwater Acoustic Channels.- An Adaptive Channel Handoff Strategy for Opportunistic Spectrum Sharing in Cognitive Global Control Plane Architecture.- A Generalization of the Bent-Function Sequence Construction.- An Efficient Large-Scale Volume Data Compression Algorithm.- Simultaneous Synchronization of Text and Speech for Broadcast News Subtitling.- A Perceptual Weighting Filter Based on ISP Pseudo-cepstrum and Its Application in AMR-WB.- Video Fingerprinting by Using Boosted Features.- Reference Signal Impact on EEG Energy.- Multichannel Blind Deconvolution Using the Conjugate Gradient.- An Improvement of HSMM-Based Speech Synthesis by Duration-Dependent State Transition Probabilities.- Biomedical Applications.- Handprint Recognition: A Novel Biometric Technology.- Single Trial Evoked Potentials Estimation by Using Wavelet Enhanced Principal Component Analysis Method.- Fourier Volume Rendering on GPGPU.- An Improved Population Migration Algorithm for the Prediction of Protein Folding.- Gene Sorting in Differential Evolution.- Enhancement of Chest Radiograph Based on Wavelet Transform.- Application of DNA Computing by Self-assembly on 0-1 Knapsack Problem.- Learning Kernel Matrix from Gene Ontology and Annotation Data for Protein Function Prediction.- Improved Quantum Evolutionary Algorithm Combined with Chaos and Its Application.- Fault Diagnosis.- Fault Diagnosis of Nonlinear Analog Circuits Using Neural Networks and Multi-Space Transformations.- An Intelligent Fault Diagnosis Method Based on Multiscale Entropy and SVMs.- Multi-objective Robust Fault Detection Filter Design in a Finite Frequency Range.- Intelligent Technique and Its Application in Fault Diagnosis of Locomotive Bearing Based on Granular Computing.- Analysis of Two Neural Networks in the Intelligent Faults Diagnosis of Metallurgic Fan Machinery.- Research on the Diagnosis of Insulator Operating State Based on Improved ANFIS Networks.- Fault Diagnosis of Analog IC Based on Wavelet Neural Network Ensemble.- Dynamic Neural Network-Based Fault Detection and Isolation for Thrusters in Formation Flying of Satellites.- Passivity Analysis of a General Form of Recurrent Neural Network with Multiple Delays.- Comparative Analysis of Corporate Failure Prediction Methods: Evidence from Chinese Firms.- Telecommunication, Sensor Network and Transportation Systems.- An Adaline-Based Location Algorithm for Wireless Sensor Network.- Remote Estimation with Sensor Scheduling.- An Improved Margin Adaptive Subcarrier Allocation with Fairness for Multiuser OFDMA System.- Detecting Community Structure in Networks by Propagating Labels of Nodes.- Algorithm for Multi-sensor Asynchronous Track-to-Track Fusion.- Remote Sensing Based on Neural Networks Model for Hydrocarbon Potentials Evaluation in Northeast China.- A Multiple Weighting Matrices Selection Scheme Based on Orthogonal Random Beamforming for MIMO Downlink System.- A Novel Adaptive Reclosure Criterion for HV Transmission Lines Based on Wavelet Packet Energy Entropy.- Pre-estimate on Transport Volume of Container in Xiangjiang Catchment.- RTKPS: A Key Pre-distribution Scheme Based on Rooted-Tree in Wireless Sensor and Actor Network.- Urban Road Network Modeling and Real-Time Prediction Based on Householder Transformation and Adjacent Vector.- Research on Method of Double-Layers BP Neural Network in Prediction of Crossroads’ Traffic Volume.- Design and Implementation of the Structure Health Monitoring System for Bridge Based on Wireless Sensor Network.- Saving Energy in Wireless Sensor Networks Based on Echo State Networks.- Enlargement of Measurement Range in a Fiber-Optic Ice Sensor by Artificial Neural Network.- Epidemic Spreading with Variant Infection Rates on Scale-Free Network.- Interdependency Analysis of Infrastructures.- Back Propagation Neural Network Based Lifetime Analysis of Wireless Sensor Network.- Applications I.- Estimation of Rock Mass Rating System with an Artificial Neural Network.- Comparative Study on Three Voidage Measurement Methods for Two-Phase Flow.- A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.- Multiple Trend Breaks and Unit Root Hypothesis: Empirical Evidence from China’s GDP(1952-2006).- An Adaptive Wavelet Networks Algorithm for Prediction of Gas Delay Outburst.- Traffic Condition Recognition of Probability Neural Network Based on Floating Car Data.- Combined Neural Network Approach for Short-Term Urban Freeway Traffic Flow Prediction.- Facial Expression Recognition in Video Sequences.- An AFSA-TSGM Based Wavelet Neural Network for Power Load Forecasting.- Comparative Analyses of Computational Intelligence Models for Load Forecasting: A Case Study in the Brazilian Amazon Power Suppliers.- An Efficient and Robust Algorithm for Improving the Resolution of Video Sequences.- Research on Variable Step-Size Blind Equalization Algorithm Based on Normalized RBF Neural Network in Underwater Acoustic Communication.- The Analysis of Aircraft Maneuver Efficiency within Extend Flight Envelop.- Application of BP Neural Network in Stock Market Prediction.- A Research of Physical Activity’s Influence on Heart Rate Using Feedforward Neural Network.- Bi-directional Prediction between Weld Penetration and Processing Parameters in Electron Beam Welding Using Artificial Neural Networks.- Analysis of Nonlinear Dynamic Structure for the Shanghai Stock Exchange Index.- A Direct Approach to Achieving Maximum Power Conversion in Wind Power Generation Systems.- Applications II.- Synthetic Modeling and Policy Simulation of Regional Economic System: A Case Study.- Industrial Connection Analysis and Case Study Based on Theory of Industrial Gradient.- Extracting Schema from Semistructured Data with Weight Tag.- Designing Domain Work Breakdown Structure (DWBS) Using Neural Networks.- Practical Hardware Implementation of Self-configuring Neural Networks.- Research on Multi-Agent Parallel Computing Model of Hydrothermal Economic Dispatch in Power System.- Fast Decoupled Power Flow Using Interval Arithmetic Considering Uncertainty in Power Systems.- Power System Aggregate Load Area Dynamic Modeling by Learning Based on WAMS.- Optimal Preventive Maintenance Inspection Period on Reliability Improvement with Bayesian Network and Hazard Function in Gantry Crane.- Application of RBF Network Based on Immune Algorithm to Predicting of Wastewater Treatment.- HLA-Based Emergency Response Plan Simulation and Practice over Internet.- Dynamic Cooperation Mechanism in Supply Chain for Perishable Agricultural Products under One -to- Multi.- Primary Research on Urban Mass Panic Based on Computational Methods for Experiments.- Virtual Reality Based Nuclear Steam Generator Ageing and Life Management Systems.

Textul de pe ultima copertă

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.