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Advances in Neural Networks - ISNN 2016 : 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / edited by Long Cheng, Qingshan Liu, Andrey Ronzhin.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Cheng, Long (Computer scientist), editor.
Liu, Qingshan (Computer scientist), editor.
Ronzhin, A. L. (Andreĭ Leonidovich), editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 9719.
Theoretical Computer Science and General Issues ; 9719
Language:
English
Subjects (All):
Pattern perception.
Algorithms.
Artificial intelligence.
Computer science--Mathematics.
Computer science.
Neural networks (Computer science).
Computer security.
Pattern Recognition.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Mathematics of Computing.
Mathematical Models of Cognitive Processes and Neural Networks.
Systems and Data Security.
Local Subjects:
Pattern Recognition.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Mathematics of Computing.
Mathematical Models of Cognitive Processes and Neural Networks.
Systems and Data Security.
Physical Description:
1 online resource (XX, 741 pages) : 278 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-319-40663-3
9783319406633
Access Restriction:
Restricted for use by site license.

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