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Advances in Neural Network Research and Applications

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  • 964 Nombre de pages
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Including contributions from the world's leading researchers in the field, this volume is made up of top-quality peer-reviewe... Lire la suite
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Including contributions from the world's leading researchers in the field, this volume is made up of top-quality peer-reviewed papers that were some of the submissions to the seventh International Symposium on Neural Networks, held in China in 2010.

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, 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, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

State of the art of Neural Network Research applied to Electrical Engineering

Presents the edited outcome of the Seventh International Symposium on Neural Networks (ISNN 2010) , Shanghai June 6-9 2010, devoted to electrical engineering appliciitons

Written by experts in the field

Prediction and Forecasting.- A Novel Prediction Mechanism with Modified Data Mining Technique for Call Admission Control in Wireless Cellular Network.- The Study of Forecasting Model of Rock Burst for Acoustic Emission Based on BP Neural Network and Catastrophe Theory.- Application of Wavelet Neural Network to Prediction of Water Content in Crude Oil.- Prediction of Urban Heat Island Intensity in Chuxiong City with Backpropagation Neural Network.- Research on the Fouling Prediction of Heat Exchanger Based on Wavelet Relevance Vector Machine.- Electricity Price Forecasting Using Neural Networks Trained with Entropic Criterion.- Least Square Support Vector Machine Ensemble for Daily Rainfall Forecasting Based on Linear and Nonlinear Regression.- Estimating Portfolio Risk Using GARCH-EVT-Copula Model: An Empirical Study on Exchange Rate Market.- Forecasting Financial Time Series via an Efficient CMAC Neural Network.- Forecasting Daily Cash Turnover of Bank with EWMA and SVR.- Financial Distress Prediction Model via GreyART Network and Grey Model.- Risk Assessment Model Based on Immune Theory.- Short-Term Load Forecasting Based on Bayes and RS.- Fuzzy Neural Networks.- Nonlinear System Modeling with a New Fuzzy Model and Neural Compensation.- A Research of Fuzzy Neural Network in Ferromagnetic Target Recognition.- Multiple T-S Fuzzy Neural Networks Soft Sensing Modeling of Flotation Process Based on Fuzzy C-Means Clustering Algorithm.- A Using Reliability Evaluation Model for Diesel Engine Based on Fuzzy Neural Network.- Fuzzy Sliding Mode Control with Perturbation Estimation for a Piezoactuated Micromanipulator.- A Credit Risk Rating Model Based on Fuzzy Neural Network.- Interval-Valued Fuzzy Control.- Research on Fuzzy Preference Relations-Based MAS for Decision Method.- Optimization and Planning.- Study of Stochastic Demand Inventory Routing Problem with Soft Time Windows Based on MDP.- An Agent-Based Approach to Joint Procurement Modeling with Virtual Organization.- Interactive Hybrid Evolutionary Computation for MEMS Design Synthesis.- Genetic Algorithms for Traffic Grooming in Optical Tree Networks.- Multi-sensor Multi-target Tracking with OOSM.- Hopfield Neural Network Guided Evolutionary Algorithm for Aircraft Penetration Path Planning.- Fuzzy Material Procurement Planning with Value-at-Risk.- Radial Basis Function Network for Endpoint Detection in Plasma Etch Process.- A Novel Cellular Neural Network and Its Applications in Motion Planning.- Evaluation of Enterprise ERP System Based on Neural Network Optimized by Ant Colony.- Pattern Recognition.- Visual Attention-Based Ship Detection in SAR Images.- Recognizing Multi-ships Based on Silhouette in Infrared Image.- SAR Images Feature Extraction and Recognition Based on G2DCDA.- Bridge Detection and Recognition in Remote Sensing SAR Images Using Pulse Coupled Neural Networks.- Approaches to Robotic Vision Control Using Image Pointing Recognition Techniques.- A Hybrid Evolutionary Approach to Band Selection for Hyperspectral Image Classification.- Impulsive Environment Sound Detection by Neural Classification of Spectrogram and Mel-Frequency Coefficient Images.- Classification and Control of Cognitive Radios Using Hierarchical Neural Network.- Identifying Spatial Patterns of Land Use and Cover Change at Different Scales Based on Self-Organizing Map.- Colon Tumor Microarray Classification Using Neural Network with Feature Selection and Rule-Based Classification.- Signal and Image Processing.- Dual Channel Speech Denoising Based on Sparse Representation.- Frequency-Domain Blind Separation of Convolutive Speech Mixtures with Energy Correlation-Based Permutation Correction.- A Blind Broadband Beamforming Method for Speech Enhancement.- Algorithm and Simulation Research for Blind Nonlinear System Identification.- Study on Digital Image Correlation Using Artificial Neural Networks for Subpixel Displacement Measurement.- Tree Modeling through Range Image Segmentation and 3D Shape Analysis.- Combining Bag of Words Model and Information Theoretic Method for Image Clustering.- Fast Fuzzy c-Means Clustering Algorithm with Spatial Constraints for Image Segmentation.- Application of Support Vector Machines to Airborne Hyper-Spectral Image Classification.- Research for the Identification Method of the Image Definition Based on a W-N Model.- Analysis of Texture Images Generated by Olfactory System Bionic Model.- Do Neural Networks Have True Power for Natural Language Processing?.- Robust Channel Identification Using FOCUSS Method.- Human Head Modeling Using NURBS Method.- Risk Sensitive Unscented Particle Filter for Bearing and Frequency Tracking.- Fully Complex Multiplicative Neural Network Model and Its Application to Channel Equalization.- Robotics and Control.- Visual Navigation of a Novel Economical Embedded Multi-mode Intelligent Control System for Powered Wheelchair.- Neural Networks L 2-Gain Control for Robot System.- Neural Network Control of Spacecraft Formation Using RISE Feedback.- A Simplified Modular Petri Net for the Walking Assistant Robot.- Omni-directional Vision Based Tracking and Guiding System for Walking Assistant Robot.- Dynamic Eye-in-Hand Visual Servoing with Unknown Target Positions.- Optimum Motion Control for Stacking Robot.- Passive Target Tracking Using an Improved Particle Filter Algorithm Based on Genetic Algorithm.- Large-Scale Structure Assembly by Multiple Robots Which May Be Broken.- Real-Time Five DOF Redundant Robot Control Using a Decentralized Neural Scheme.- Improving Transient Response of Adaptive Control Systems Using Multiple Neural Network Models.- An Information Theoretic Approach for Design MIMO Networked Control Systems.- An Engineering Solution for Decoupling Control of Aircraft Motion Using Affine Neural Network.- Black-Box Input-Output Identification of a Class of Nonlinear Systems Using a Discrete-Time Recurrent Neurofuzzy Network.- Passivity Analysis of Stochastic Neural Networks with Mixed Time-Varying Delays.- A Novel Recovering Initial Conditions Method from Spatiotemporal Complex Dynamical System.- An Intelligent Control Scheme for Nonlinear Time-Varying Systems with Time Delay.- Master-Slave Chaos Synchronization of Uncertain Nonlinear Gyros Using Wavelet Neural Network.- Transportation Systems.- WNN-Based Intelligent Transportation Control System.- Incident Detection in Urban Road.- An Efficient Web-Based Tracking System through Reduction of Redundant Connections.- An Embedded All-Time Blind Spot Warning System.- Design of Autonomous Parallel Parking Using Fuzzy Logic Controller with Feed-Forward Compensation.- Telematics Services through Mobile Agents.- Multi-agent System Model for Urban Traffic Simulation and Optimizing Based on Random Walk.- Vehicle Detection Using Bayesian Enhanced CoBE Classification.- Vibration Analysis of a Submarine Model Based on an Improved ICA Approach.- A Hierarchical Salient-Region Based Algorithm for Ship Detection in Remote Sensing Images.- Industrial Applications.- Turning Tool Wear Monitoring Based on Fuzzy Cluster Analysis.- Part-Machine Clustering: The Comparison between Adaptive Resonance Theory Neural Network and Ant Colony System.- Fault Diagnosis of Bearings Based on Time-Delayed Correlation and Demodulation as Well as B-Spline Fuzzy Neural Networks.- Fast and Noninvasive Determination of Viscosity of Lubricating Oil Based on Visible and Near Infrared Spectroscopy.- Chattering-Free Adaptive Wavelet Neural Network Control for a BLDC Motor via Dynamic Sliding-Mode Approach.- A New BPSO Algorithm and Applications in Interruptible Load Management.- Force Identification by Using Support Vector Machine and Differential Evolution Optimization.- Soft Sensor Modeling of Ball Mill Load via Principal Component Analysis and Support Vector Machines.- An Approach Based on Hilbert-Huang Transform and Support Vector Machine for Intelligent Fault Diagnosis.- Real-World Applications.- Study on Factors of Floating Women's Income in Jiangsu Province Based on Bayesian Networks.- Variation Trend Analysis of Groundwater Depth in Area of Well Irrigation in Sanjiang Plain Based on Wavelet Neural Network.- A Petri-Net Modeling Method of Agent's Belief-Desire-Intention and Its Application in Logistics.- Supply Chain Flexibility Assessment by Multivariate Regression and Neural Networks.- An Intelligent Mobile Location-Aware Book Recommendation System with Map-Based Guidance That Enhances Problem-Based Learning in Libraries.- Applying Least Squares Support Vector Regression with Genetic Algorithms for Radio-Wave Path-Loss Prediction in Suburban Environment.- A Probabilistic Neural Network Approach to Modeling the Impact of Tobacco Control Policies by Gender.- The BPNN-Fuzzy Logic Pre-control of an Underground Project in City Center of Shanghai.- Optimal Parameter Inversion of Marine Water Quality Model Using a BPNN Data-Driven Model - A Case Study on DIN.- Determination of Sugar Content of Instant Milk-Tea Using Effective Wavelengths and Least Squares-Support Vector Machine.- Sports Video Summarization Based on Salient Motion Entropy and Information Analysis.- A Neural Network Based Algorithm for the Retrieval of Precipitable Water Vapor from MODIS Data.- A Neural Network Based Approach to Wind Energy Yield Forecasting.- Research on New Intelligent Business-Oriented Decision-Making Model Based on MA and GA.

Informations sur le produit

Titre: Advances in Neural Network Research and Applications
EAN: 9783662519882
ISBN: 3662519887
Format: Couverture cartonnée
Editeur: Springer Berlin Heidelberg
Genre: Electrotechnique
Nombre de pages: 964
Poids: 1428g
Taille: H235mm x B155mm x T51mm
Année: 2016
Sous-titre : Englisch
Edition: Softcover reprint of the original 1st ed. 2010

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