• Article
  • | |
  • Metrics
  • |
  • Reference [1]
  • |
  • Related [20]
  • |
  • Cited by [16]
  • | |
  • Comments
    Abstract:

    This paper proposes a neural network learning algorithm FTART(field theory-based adaptive resonance theory)that combines many neural network theories.It is based on the main idea of ART(adaptive resonance theory) and makes use of many merits of Field Theory and ARTMAP,etc.,and corrects the classification regarding the supposed possibility of examples in the instance space.FTART gains some goodness by employing a special conflict resolution process and dynamically expanding the classification area. Some benchmark test results are also given.

    Reference
    1 Moore B.ART 1 and pattern clustering.In:Proc.1988 Connectionist Models Summer School, 1989. 174~185. 2 Carpenter G A,Grossberg S,Reynolds J H.ARTMAP:supervised real—time learning and classifieation of nonstationary data by a seif—organizing neural network.Neural Networks,1993,4:565~588. 3 Carpenter G A,Grossberg S,Markuzon N et al.Fuzzy ARTMAP:a neural network architecture for incremental supervised learning of analog multidimensional maps.IEEE Trans.on Neural Networks,1992,3(5):698~713. 4 Wasserman P D.Advanced methods in neural computing.Chapter 2. 1993. 14~34. 5 Rosenblatt F.The perceptron:a perceiving and recognizing automation.Cornell Aeronautical Laboratoy Report,85—460—1,1957. 6 wasserman P D.Advanced methods in neural computing.Chapter 2.1993.26~33. 7 Lang K J,Witbrock M J.Learning to tell two spirals apart.In:Proc.1988 Connectionist Models Summer School,1989.52~59. 8 Wilensky G.Analysis of neural network issues:scaling,enhanced modal processing,comparison with standard classification.DARPA Neural Network Program Review,Oct.1990. 9 Rumelhart D E,Hinton G,Williams R.Learning internal representations by error propagation. In:Rumelhart D E and McClelland J L eds., Parallel Distributed Processing, Cambridge,MA:MIT Press,1986.
    Comments
    Comments
    分享到微博
    Submit
Get Citation

陈兆乾,周戎,刘宏,陈世福.一种新的自适应谐振算法.软件学报,1996,7(8):458-465

Copy
Share
Article Metrics
  • Abstract:3959
  • PDF: 5036
  • HTML: 0
  • Cited by: 0
History
  • Revised:May 24,1996
You are the first2045264Visitors
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