Advances in Neural Networks – ISNN 2019: 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II
Author:   Huchuan Lu ,  Huajin Tang ,  Zhanshan Wang
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11555
ISBN:  

9783030228071


Pages:   615
Publication Date:   27 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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 II


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Overview

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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Author:   Huchuan Lu ,  Huajin Tang ,  Zhanshan Wang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11555
Weight:   0.967kg
ISBN:  

9783030228071


ISBN 10:   303022807
Pages:   615
Publication Date:   27 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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