Advances in neural networks -- ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings. Part I / Huchuan Lu, Huajin Tang, Zhanshan Wang (Eds.).
International Symposium on Neural Networks (16th : 2019 : Moscow, Russia); Lu, Huchuan, editor.; Tang, Huajin, editor.; Wang, Zhanshan, editor.
2019
QA76.87 .I58 2019
Available Online

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Title Advances in neural networks -- ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings. Part I / Huchuan Lu, Huajin Tang, Zhanshan Wang (Eds.).
Meeting Name International Symposium on Neural Networks (16th : 2019 : Moscow, Russia)
ISBN 9783030227968 (electronic book)
3030227960 (electronic book)
9783030227951
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-22
Call Number QA76.87 .I58 2019
Dewey Decimal Classification 006.3
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on July 23, 2019).
Added Author Lu, Huchuan, editor.
Tang, Huajin, editor.
Wang, Zhanshan, editor.
Series Lecture notes in computer science ; 11554.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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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.

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