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Advances in neural networks - ISNN 2...
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Lu, Huchuan.
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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 /
紀錄類型:
書目-電子資源 : 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.
其他題名:
ISNN 2019
其他作者:
Lu, Huchuan.
團體作者:
International Symposium on Neural Networks
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xxii, 483 p. :ill., digital ;24 cm.
內容註:
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
標題:
Neural networks (Computer science) - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-22796-8
ISBN:
9783030227968
Advances in neural networks - ISNN 2019 = 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings.. Part I /
Advances in neural networks - ISNN 2019
16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings.Part I /[electronic resource] :ISNN 2019edited by Huchuan Lu, Huajin Tang, Zhanshan Wang. - Cham :Springer International Publishing :2019. - xxii, 483 p. :ill., digital ;24 cm. - Lecture notes in computer science,115540302-9743 ;. - Lecture notes in computer science ;11554..
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: 9783030227968
Standard No.: 10.1007/978-3-030-22796-8doiSubjects--Topical Terms:
582186
Neural networks (Computer science)
--Congresses.
LC Class. No.: QA76.87 / .I58 2019
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 I /
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