Advances in Neural Networks- ISNN 2013 - 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I (Paperback, 2013 ed.)


The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.

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Product Description

The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Theoretical Computer Science and General Issues, 7951

Release date

July 2013

Availability

Expected to ship within 10 - 15 working days

First published

2013

Editors

, ,

Dimensions

235 x 155 x 36mm (L x W x T)

Format

Paperback

Pages

687

Edition

2013 ed.

ISBN-13

978-3-642-39064-7

Barcode

9783642390647

Categories

LSN

3-642-39064-1



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