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© 2019

Advances in Neural Networks – ISNN 2019

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

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11554)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11554)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Learning System, Graph Model, and Adversarial Learning

    1. Front Matter
      Pages 1-1
    2. Wen Yu, Xiaoou Li, Jesus Gonzalez
      Pages 3-10
    3. Anton Agafonov, Alexander Yumaganov
      Pages 11-18
    4. Tatiana T. Kaverzneva, Galina F. Malykhina, Dmitriy A. Tarkhov
      Pages 19-27
    5. Isaac Chairez, Alexander Poznyak, Alexander Nazin, Tatyana Poznyak
      Pages 28-38
    6. Ling Yu, Zhen Zhang, Xuetao Xie, Hua Chen, Jian Wang
      Pages 48-57
    7. Xingjian Chen, Jianbo Su, Jun Zhang
      Pages 58-66
    8. Yuriy Fedorenko, Valeriy Chernenkiy, Yuriy Gapanyuk
      Pages 67-76
    9. Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
      Pages 97-105
    10. Yaoman Li, Irwin King
      Pages 106-115
    11. Bixiao Meng, Baomin XU, Erjing Zhou, Shuangyuan YU, Hongfeng Yin
      Pages 124-132
    12. Yun Luo, Li-Zhen Zhu, Bao-Liang Lu
      Pages 141-150
  3. Time Series Analysis, Dynamic Prediction, and Uncertain Estimation

    1. Front Matter
      Pages 163-163

Other volumes

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

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