國立虎尾科技大學 |

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:	Language materials, printed : 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:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxi, 615 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) -
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 ;6140..

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:

528588
Neural networks (Computer science)

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 /
LDR:02411nam a2200361 a 4500 001 941063
003 DE-He213
005 20190626015226.0
006 m d
007 cr nn 008maaau
008 200417s2019 gw s 0 eng d
020 $a 9783030228088 $q (electronic bk.)
020 $a 9783030228071 $q (paper)
024 7 $a 10.1007/978-3-030-22808-8 $2 doi
035 $a 978-3-030-22808-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a QA76.87 $b .I61 2019
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Advances in neural networks - ISNN 2019 $h [electronic resource] : $b 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019 : proceedings. $n Part II / $c edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.
246 3 $a ISNN 2019
260 $a Cham : $c 2019. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxi, 615 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11555
490 1 $a Theoretical computer science and general issues
505 0 $a 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.
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.
650 0 $a Neural networks (Computer science) $3 528588
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Numeric Computing. $3 669943
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Math Applications in Computer Science. $3 669887
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 593923
700 1 $a Lu, Huchuan. $3 1226845
700 1 $a Tang, Huajin. $3 1228057
700 1 $a Wang, Zhanshan. $3 1101659
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
830 0 $a Theoretical computer science and general issues. $3 1208307
856 4 0 $u https://doi.org/10.1007/978-3-030-22808-8
950 $a Computer Science (Springer-11645)