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Advances in Neural Networks – ISNN 2019

16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II

  • Huchuan Lu
  • Huajin Tang
  • Zhanshan Wang
Conference proceedings ISNN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11555)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11555)

Table of contents

  1. Image Recognition, Scene Understanding, and Video Analysis

  2. Bio-signal, Biomedical Engineering, and Hardware

    1. Front Matter
      Pages 489-489
    2. Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
      Pages 501-511
    3. Lei Du, Yuwei Zhang, Qingfang Meng, Hanyong Zhang, Yang Li
      Pages 512-521
    4. Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao, Xiao-Feng Gong, Fengyu Cong et al.
      Pages 540-547
    5. Chuyi Song, Guixia Liu, Jiazhi Song, Jingqing Jiang
      Pages 548-555
    6. Hui Yang, Shukai Duan, Lidan Wang
      Pages 556-564
    7. Gui-Chen Yu, Xiao-Feng Gong, Jia-Cheng Jiang, Zhi-Wen Liu, You-Gen Xu
      Pages 585-594
    8. Andrey Yukhnev, Dmitriy Tarkhov, Yakov Gataulin, Yana Ivanova, Alexander Berkovich
      Pages 595-602
  3. Back Matter
    Pages 611-615

Other volumes

  1. 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I
  2. Advances in Neural Networks – ISNN 2019
    16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II

About these proceedings

Introduction

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.

 

Keywords

adaptive control systems artificial intelligence classification data mining estimation evolutionary algorithms genetic algorithms image processing image reconstruction image segmentation imaging systems learning algorithms linear matrix inequalities matrix algebra neural networks numerical methods process control signal detection signal processing Support Vector Machines (SVM)

Editors and affiliations

  • Huchuan Lu
    • 1
  • Huajin Tang
    • 2
  • Zhanshan Wang
    • 3
  1. 1.Dalian University of TechnologyDalianChina
  2. 2.Sichuan UniversityChengduChina
  3. 3.Northeastern UniversityShenyangChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-22808-8
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22807-1
  • Online ISBN 978-3-030-22808-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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