• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

A Robust Neuron and Its Effective Control in the Perturbation of Fuzzy Rules

  • XU Wei-Hong ,
  • LI Lu-Wei
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  • (School of Computer and Communications,Changsha Unversity of Science and Technology,Changsha 410077,China)

Received date: 2009-06-13

  Revised date: 2009-10-25

  Online published: 2010-03-10

Abstract

The neurons based on a weak Tnorm and the weak Snorm can be achieved with and, or and mixedand fuzzy logic operations, and are robust. Based on the new neurons, a neural network is applied to fuzzy inference systems, which can not only simplify the network, satisfy the consistency principle of fuzzy inference, but also control the extent of the impact of the results of reasoning with the perturbation of rules in fuzzy inference.

Cite this article

XU Wei-Hong , LI Lu-Wei . A Robust Neuron and Its Effective Control in the Perturbation of Fuzzy Rules[J]. Computer Engineering & Science, 2010 , 32(3) : 148 -150 . DOI: 10.3969/j.issn.1007130X.2010.

Outlines

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