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Advances in Neural Networks – ISNN 2019 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I

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 paper...

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Bibliographic Details
Other Authors: Lu, Huchuan (Editor), Tang, Huajin (Editor), Wang, Zhanshan (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Theoretical Computer Science and General Issues
Subjects:
Computer Science / Mathematics
Numerical Analysis
Computer Vision
Artificial Intelligence
Algorithms
Data Mining
Mathematical Applications In Computer Science
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Advances in Neural Networks – ISNN 2019  |h Elektronische Ressource  |b 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I  |c edited by Huchuan Lu, Huajin Tang, Zhanshan Wang 
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505 0 |a 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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653 |a Algorithms 
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653 |a Artificial intelligence 
653 |a Numerical analysis 
653 |a Data Mining and Knowledge Discovery 
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700 1 |a Wang, Zhanshan  |e [editor] 
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520 |a 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. 

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