9783642211041-3642211046-Advances in Neural Networks -- ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings ... Computer Science and General Issues)

Advances in Neural Networks -- ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings ... Computer Science and General Issues)

ISBN-13: 9783642211041
ISBN-10: 3642211046
Edition: 2011
Author: Derong Liu, Marios Polycarpou, Haibo He, Huaguang Zhang, Cesare Alippi
Publication date: 2011
Publisher: Springer
Format: Paperback 668 pages
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Book details

ISBN-13: 9783642211041
ISBN-10: 3642211046
Edition: 2011
Author: Derong Liu, Marios Polycarpou, Haibo He, Huaguang Zhang, Cesare Alippi
Publication date: 2011
Publisher: Springer
Format: Paperback 668 pages

Summary

Advances in Neural Networks -- ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings ... Computer Science and General Issues) (ISBN-13: 9783642211041 and ISBN-10: 3642211046), written by authors Derong Liu, Marios Polycarpou, Haibo He, Huaguang Zhang, Cesare Alippi, was published by Springer in 2011. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Advances in Neural Networks -- ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings ... Computer Science and General Issues) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.47.

Description

The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

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