Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10262)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ISNN 2017.
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About this book
The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos.
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Keywords
- adaptive control systems
- algorithms
- artificial intelligence
- classification
- clustering
- deep learning
- image processing
- intelligent control
- linear control systems
- linear matrix inequalities
- Lyapunov functions
- machine learning
- matrix algebra
- neural networks
- nonlinear control systems
- pattern recognition
- recurrent neural networks
- robots
- signal processing
- Support Vector Machines (SVM)
Table of contents (68 papers)
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Intelligent Control
Other volumes
-
Advances in Neural Networks - ISNN 2017
-
Advances in Neural Networks - ISNN 2017
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Neural Networks - ISNN 2017
Book Subtitle: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II
Editors: Fengyu Cong, Andrew Leung, Qinglai Wei
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59081-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59080-6Published: 31 May 2017
eBook ISBN: 978-3-319-59081-3Published: 14 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 595
Number of Illustrations: 251 b/w illustrations
Topics: Pattern Recognition, Artificial Intelligence, Mathematics of Computing, Mathematical Models of Cognitive Processes and Neural Networks, Algorithm Analysis and Problem Complexity, Systems and Data Security