Advances in neural networks -- ISNN 2016 [electronic resource] : 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / Long Cheng, Qingshan Liu, Andrey Ronzhin (eds.).
2016
Q337.5
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Title
Advances in neural networks -- ISNN 2016 [electronic resource] : 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / Long Cheng, Qingshan Liu, Andrey Ronzhin (eds.).
ISBN
9783319406633 (electronic book)
3319406639 (electronic book)
9783319406626
3319406639 (electronic book)
9783319406626
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xx, 741 pages) : illustrations.
Item Number
10.1007/978-3-319-40663-3 doi
Call Number
Q337.5
Dewey Decimal Classification
006.4
Summary
This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 11, 2016).
Series
Lecture notes in computer science ; 9719.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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Table of Contents
Signal and image processing
Dynamical behaviors of recurrent neural networks
Intelligent control.-Clustering, classification, modeling, and forecasting
Evolutionary computation
Cognition computation and spiking neural networks.
Dynamical behaviors of recurrent neural networks
Intelligent control.-Clustering, classification, modeling, and forecasting
Evolutionary computation
Cognition computation and spiking neural networks.