Advertisement

Neural Information Processing

24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I

  • Derong Liu
  • Shengli Xie
  • Yuanqing Li
  • Dongbin Zhao
  • El-Sayed M. El-Alfy

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10634)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10634)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Machine Learning

    1. Front Matter
      Pages 1-1
    2. Yunxiao Shi, Xiangnan He, Han Wu, Zhong-Xiao Jin, Wenlian Lu
      Pages 13-23
    3. Tianyue Zhang, Baile Xu, Furao Shen
      Pages 24-32
    4. Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang
      Pages 43-52
    5. Fang Liu, Fei Zhao, Mi Tong, Yan Yang, Zhenhao Yu
      Pages 53-63
    6. Kosuke Yoshimura, Yukino Baba, Hisashi Kashima
      Pages 64-73
    7. Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang
      Pages 74-81
    8. Zhihui Lao, Zhiheng Zhou, Junchu Huang
      Pages 82-90
    9. Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai
      Pages 100-108
    10. Peng Wu, Jeff Orchard
      Pages 109-116
    11. Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
      Pages 117-123
    12. Pengfei Wang, Zhipeng Xie, Junfeng Hu
      Pages 144-154
    13. Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer
      Pages 155-165
    14. James Ting-Ho Lo, Yichuan Gui, Yun Peng
      Pages 166-174
    15. Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
      Pages 185-193
    16. Xinjuan Li, Jie Yu, Lingyu Xu, Gaowei Zhang
      Pages 194-204
    17. Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie
      Pages 213-221
    18. Ashutosh Saboo, Anant Sharma, Tirtharaj Dash
      Pages 230-239
    19. Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich
      Pages 240-247
    20. Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
      Pages 248-258
    21. Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu
      Pages 259-269
    22. Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu
      Pages 270-278
    23. Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng
      Pages 279-288
    24. Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov
      Pages 289-296
    25. Yan Yan, Shining Li, Zhe Yang, Xiao Zhang, Jing Li, Anyi Wang et al.
      Pages 305-315
    26. Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
      Pages 316-324
    27. Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
      Pages 345-355
    28. Ji Zhao, Hongbin Zhang
      Pages 356-365
    29. Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao
      Pages 366-374
    30. Nikolaos Gianniotis
      Pages 375-383
    31. Liangang Zhang, Yang Li, Huanhuan Chen
      Pages 384-393
    32. Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal
      Pages 394-404
    33. Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow
      Pages 405-414
    34. Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun
      Pages 415-423
    35. Chu-Tao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong
      Pages 434-444
    36. Anuchin Chatchinarat, Kok Wai Wong, Chun Che Fung
      Pages 455-462

Other volumes

  1. Neural Information Processing
    24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I
  2. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II
  3. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III
  4. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part IV
  5. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V
  6. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part VI

About these proceedings

Introduction


Keywords

Adaptive dynamic programming Artificial intelligence Biologically inspired computing Brain-computer interface Computational intelligence Artificial Intelligence machine learning learning algorithms neural networks Support Vector Machines (SVM data mining signal processing reinforcement learning genetic algorithms clustering algorithms support vector classifiers

Editors and affiliations

  • Derong Liu
    • 1
  • Shengli Xie
    • 2
  • Yuanqing Li
    • 3
  • Dongbin Zhao
    • 4
  • El-Sayed M. El-Alfy
    • 5
  1. 1.Guangdong University of TechnologyGuangzhouChina
  2. 2.Guangdong University of TechnologyGuangzhouChina
  3. 3.South China University of TechnologyGuangzhouChina
  4. 4.Institute of AutomationChinese Academy of SciencesBeijingChina
  5. 5.King Fahd University of Petroleum and MineralsDhahranSaudi Arabia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-70087-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-70086-1
  • Online ISBN 978-3-319-70087-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site