1 option
Advances in Neural Networks - ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part I / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 11554
- Theoretical Computer Science and General Issues, 2512-2029 ; 11554
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Artificial Intelligence.
- Computer Vision.
- Numerical Analysis.
- Data Mining and Knowledge Discovery.
- Mathematical Applications in Computer Science.
- Algorithms.
- Physical Description:
- 1 online resource (XXII, 483 pages) : 198 illustrations, 133 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- 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:
- 978-3-030-22796-8
- 9783030227968
- Access Restriction:
- Restricted for use by site license.
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