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Advances In Neural Networks Isnn 2007 4th International Symposium On Neural Networks Isnn 2007 Nanjing China June 37 2007 Proceedings Part Ii 1st Edition Hongwei Wang

  • SKU: BELL-4239902
Advances In Neural Networks Isnn 2007 4th International Symposium On Neural Networks Isnn 2007 Nanjing China June 37 2007 Proceedings Part Ii 1st Edition Hongwei Wang
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Advances In Neural Networks Isnn 2007 4th International Symposium On Neural Networks Isnn 2007 Nanjing China June 37 2007 Proceedings Part Ii 1st Edition Hongwei Wang instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 34.15 MB
Pages: 1316
Author: Hongwei Wang, Hong Gu (auth.), Derong Liu, Shumin Fei, Zengguang Hou, Huaguang Zhang, Changyin Sun (eds.)
ISBN: 9783540723929, 9783540723936, 3540723927, 3540723935
Language: English
Year: 2007
Edition: 1

Product desciption

Advances In Neural Networks Isnn 2007 4th International Symposium On Neural Networks Isnn 2007 Nanjing China June 37 2007 Proceedings Part Ii 1st Edition Hongwei Wang by Hongwei Wang, Hong Gu (auth.), Derong Liu, Shumin Fei, Zengguang Hou, Huaguang Zhang, Changyin Sun (eds.) 9783540723929, 9783540723936, 3540723927, 3540723935 instant download after payment.

This book is part of a three volume set that 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.

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