Autor: Wen Yu
ISBN-13: 9783642015120
Einband: Book
Seiten: 1251
Gewicht: 1410 g
Format: 243x161x50 mm
Sprache: Englisch

Advances in Neural Networks - ISNN 2009

5553, Lecture Notes in Computer Science
6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part III
 Book
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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.
'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
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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Autor: Wen Yu
ISBN-13 :: 9783642015120
ISBN: 3642015123
Erscheinungsjahr: 08.05.2009
Verlag: Springer-Verlag GmbH
Gewicht: 1410g
Seiten: 1251
Sprache: Englisch
Auflage 2009
Sonstiges: Taschenbuch, 243x161x50 mm, black & white tables, figures