Advances in Neural Networks - ISNN 2007

Advances in Neural Networks - ISNN 2007

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The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. ... Firstly, RBF network (RBFN) is used to provide effective methodologies for solving camera calibration and stereo rectification problems.

Title:Advances in Neural Networks - ISNN 2007
Author:Derong Liu, Zeng-Guang Hou
Publisher:Springer Science & Business Media - 2007-05-24


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