Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11554)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ISNN: International Symposium on Neural Networks
Conference proceedings info: ISNN 2019.
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Table of contents (50 papers)
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Front Matter
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Learning System, Graph Model, and Adversarial Learning
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Front Matter
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Time Series Analysis, Dynamic Prediction, and Uncertain Estimation
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Front Matter
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Other Volumes
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Advances in Neural Networks – ISNN 2019
About this book
This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019.
The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.
Keywords
- adaptive control systems
- artificial intelligence
- classification
- data mining
- estimation
- evolutionary algorithms
- genetic algorithms
- image processing
- image reconstruction
- image segmentation
- imaging systems
- learning algorithms
- linear matrix inequalities
- matrix algebra
- neural networks
- numerical methods
- process control
- signal detection
- signal processing
- Support Vector Machines (SVM)
Editors and Affiliations
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Dalian University of Technology, Dalian, China
Huchuan Lu
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Sichuan University, Chengdu, China
Huajin Tang
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Northeastern University, Shenyang, China
Zhanshan Wang
Bibliographic Information
Book Title: Advances in Neural Networks – ISNN 2019
Book Subtitle: 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I
Editors: Huchuan Lu, Huajin Tang, Zhanshan Wang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-22796-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-22795-1Published: 26 June 2019
eBook ISBN: 978-3-030-22796-8Published: 26 June 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 483
Number of Illustrations: 65 b/w illustrations, 133 illustrations in colour
Topics: Artificial Intelligence, Image Processing and Computer Vision, Numeric Computing, Data Mining and Knowledge Discovery, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity