Advances in Neural Networks - ISNN 2007: 4th International Symposium on Neutral Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part 2007 Edition Contributor(s): Liu, Derong (Editor), Fei, Shumin (Editor), Hou, Zeng-Guang (Editor) |
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ISBN: 3540723927 ISBN-13: 9783540723929 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: May 2007 Annotation: 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. |
Additional Information |
BISAC Categories: - Computers | Neural Networks - Computers | Computer Science - Computers | Networking - General |
Dewey: 006.32 |
Series: Lecture Notes in Computer Science |
Physical Information: 1.81" H x 6.34" W x 9.26" (3.33 lbs) 1321 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks. |