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

XU Wei-Hong; LI Lu-Wei

doi:10.3969/j.issn.1007130X.2010.

Computer Engineering & Science >

2010 , Vol. 32 >Issue 3: 148 - 150

DOI: https://doi.org/10.3969/j.issn.1007130X.2010.

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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

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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.

Key words： neurons;neural network;robustness;perturbation of rules;control

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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.

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