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Advances in neural networks - ISNN 2...

International Symposium on Neural Networks (2019 :)

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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in neural networks - ISNN 2019/ edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.
Reminder of title:	16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings.
remainder title:	ISNN 2019
other author:	Lu, Huchuan.
corporate name:	International Symposium on Neural Networks
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxi, 615 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-22808-8
ISBN:	9783030228088

Advances in neural networks - ISNN 2019 = 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings.. Part II /
Advances in neural networks - ISNN 201916th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings.Part II /[electronic resource] :ISNN 2019edited by Huchuan Lu, Huajin Tang, Zhanshan Wang. - Cham :Springer International Publishing :2019. - xxi, 615 p. :ill., digital ;24 cm. - Lecture notes in computer science,115550302-9743 ;. - Lecture notes in computer science ;11555..

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.

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.

ISBN: 9783030228088

Standard No.: 10.1007/978-3-030-22808-8doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.3

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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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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