• Article
  • | |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    In this paper, based on the mass assignment theory proposed by J.F. Baldwin et al. , the new mass assignment based fuzzy CMAC is presented. Accordingly, its learning rules are also investigated. The theoretical research results reveal that this new mass assignment based fuzzy CMAC is a universal approximator, and has its learning convergence. Therefore, this new fuzzy CMAC has very important potentials of applications.

    Reference
    Related
    Cited by
Get Citation

王士同,J. F. Baldwin, T. P. Martin.新的基于mass-assignment的模糊CMAC神经网络及其学习收敛性.软件学报,2001,12(6):816-821

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 01,1999
  • Revised:December 24,1999
You are the first2034809Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063