Advances in Neural Networks - ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part II / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.

Format:

Book

Contributor:

Lu, Huchuan, editor.

Tang, Huajin, editor.

Wang, Zhanshan, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11555.

Theoretical Computer Science and General Issues ; 11555

Language:

English

Subjects (All):

Artificial intelligence.

Optical data processing.

Numerical analysis.

Data mining.

Computer science--Mathematics.

Computer science.

Algorithms.

Artificial Intelligence.

Image Processing and Computer Vision.

Numeric Computing.

Data Mining and Knowledge Discovery.

Math Applications in Computer Science.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Artificial Intelligence.

Image Processing and Computer Vision.

Numeric Computing.

Data Mining and Knowledge Discovery.

Math Applications in Computer Science.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XXI, 615 pages) : 322 illustrations, 201 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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. .

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-22808-8

9783030228088

Access Restriction:

Restricted for use by site license.