Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10634)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ICONIP: International Conference on Neural Information Processing
Conference proceedings info: ICONIP 2017.
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Table of contents (94 papers)
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Front Matter
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Machine Learning
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Front Matter
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Other Volumes
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Neural Information Processing
About this book
Keywords
- Adaptive dynamic programming
- Artificial intelligence
- Biologically inspired computing
- Brain-computer interface
- Computational intelligence
- Artificial Intelligence
- machine learning
- learning algorithms
- neural networks
- Support Vector Machines (SVM
- data mining
- signal processing
- reinforcement learning
- genetic algorithms
- clustering algorithms
- support vector
- classifiers
- algorithm analysis and problem complexity
Editors and Affiliations
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Guangdong University of Technology, Guangzhou, China
Derong Liu, Shengli Xie
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South China University of Technology, Guangzhou, China
Yuanqing Li
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Institute of Automation, Chinese Academy of Sciences, Beijing, China
Dongbin Zhao
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King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
El-Sayed M. El-Alfy
Bibliographic Information
Book Title: Neural Information Processing
Book Subtitle: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I
Editors: Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-70087-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-70086-1Published: 25 October 2017
eBook ISBN: 978-3-319-70087-8Published: 07 November 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 936
Number of Illustrations: 263 b/w illustrations
Topics: Computers and Society, Artificial Intelligence, Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity, Systems and Data Security