Advances in Neural Network Research and Applications (häftad)
Häftad (Paperback / softback)
Antal sidor
Softcover reprint of the original 1st ed. 2010
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Wang, Jun (ed.), Zeng, Zhigang (ed.)
XXVI, 936 p.
234 x 156 x 48 mm
1321 g
Antal komponenter
1 Paperback / softback
Advances in Neural Network Research and Applications (häftad)

Advances in Neural Network Research and Applications

Häftad Engelska, 2016-08-23
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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.
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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 An