Advances in Neural Networks – ISNN 2016

13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings

  • Long Cheng
  • Qingshan Liu
  • Andrey Ronzhin

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9719)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9719)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Signal and Image Processing

    1. Front Matter
      Pages 1-1
    2. Zhanquan Sun, Huifen Huang, Feng Li
      Pages 3-11
    3. Tiantian Yang, Fengyu Cong, Zheng Chang, Youyi Liu, Tapani Ristainiemi, Hong Li
      Pages 30-39
    4. Vladimir I. Vorobiev, Elena L. Evnevich, Dmitriy K. Levonevskiy
      Pages 40-48
    5. Wenjie Li, Ling Zou, Tiantong Zhou, Changming Wang, Jiongru Zhou
      Pages 66-73
    6. Anton Yakovenko, Galina Malychina
      Pages 74-81
    7. Oleg Kudashev, Sergey Novoselov, Timur Pekhovsky, Konstantin Simonchik, Galina Lavrentyeva
      Pages 82-91
    8. Konstantin Sonkin, Lev Stankevich, Yulia Khomenko, Zhanna Nagornova, Natalia Shemyakina, Alexandra Koval et al.
      Pages 100-107
    9. German A. Chernykh, Yuri A. Kuperin, Ludmila A. Dmitrieva, Angelina A. Navleva
      Pages 108-114
  3. Dynamical Behaviors of Recurrent Neural Networks

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.

Keywords

genetic algorithm global optimization machine learning pattern recognition simulation dynamical behavior analysis feature extraction image analysis intelligent control learning algorithm motion detection neural networks prediction probability recurrent neural networks robotics signal processing spiking neural networks support vector machines system identification

Editors and affiliations

  • Long Cheng
    • 1
  • Qingshan Liu
    • 2
  • Andrey Ronzhin
    • 3
  1. 1.The Chinese Academy of SciencesBeijingChina
  2. 2.Huazhong University of Science and Tech.WuhanChina
  3. 3.Russian Academy of SciencesSPIIRASSt. PetersburgRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-40663-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-40662-6
  • Online ISBN 978-3-319-40663-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book