Advances in Neural Networks - ISNN 2019
16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part II
Published on 27. June 2019
Book
Paperback/Softback
XXI, 615 pages
978-3-030-22807-1 (ISBN)
Description
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.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
121 s/w Abbildungen, 201 farbige Abbildungen
XXI, 615 p. 322 illus., 201 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 35 mm
Weight
955 gr
ISBN-13
978-3-030-22807-1 (9783030228071)
DOI
10.1007/978-3-030-22808-8
Schweitzer Classification
Other editions
Additional editions
Huchuan Lu | Huajin Tang | Zhanshan Wang
Advances in Neural Networks - ISNN 2019
16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part II
E-Book
06/2019
Springer
€53.49
Available for download
Content
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.