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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

Author: Huchuan Lu; Huajin Tang; Zhanshan Wang
Publisher: Cham Springer International Publishing 2019
Series: Theoretical Computer Science and General Issues, 11554
Edition/Format:   eBook : Document : English : 1st ed. 2019
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  Read more...
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Details

Additional Physical Format: Printed edition
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Huchuan Lu; Huajin Tang; Zhanshan Wang
ISBN: 9783030227968 3030227960
OCLC Number: 1107462188
Description: 1 Online-Ressource (XXII, 483 Seiten 198 Illustrationen, 133 Illustrationen in color.)
Series Title: Theoretical Computer Science and General Issues, 11554
Responsibility: edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.

Abstract:

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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