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 2019 16th 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 2512-2029 ; .
- Theoretical Computer Science and General Issues, 11555 .
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. .
9783030228088
10.1007/978-3-030-22808-8 doi
Artificial intelligence.
Computer vision.
Numerical analysis.
Data mining.
Computer science--Mathematics.
Algorithms.
Artificial Intelligence.
Computer Vision.
Numerical Analysis.
Data Mining and Knowledge Discovery.
Mathematical Applications in Computer Science.
Algorithms.
Q334-342 TA347.A78
006.3
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. .
9783030228088
10.1007/978-3-030-22808-8 doi
Artificial intelligence.
Computer vision.
Numerical analysis.
Data mining.
Computer science--Mathematics.
Algorithms.
Artificial Intelligence.
Computer Vision.
Numerical Analysis.
Data Mining and Knowledge Discovery.
Mathematical Applications in Computer Science.
Algorithms.
Q334-342 TA347.A78
006.3