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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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Neural Networks – ISNN 2019/ edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.
其他題名:	16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II /
其他作者:	Lu, Huchuan.
面頁冊數:	XXI, 615 p. 322 illus., 201 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	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] :edited by Huchuan Lu, Huajin Tang, Zhanshan Wang. - 1st ed. 2019. - XXI, 615 p. 322 illus., 201 illus. in color.online resource. - Theoretical Computer Science and General Issues ;11555. - Theoretical Computer Science and General Issues ;9163.

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:

559380
Artificial intelligence.

LC Class. No.: Q334-342

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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