|Table of Contents|

Influences of Perturbation of Training Pattern Pairs on Monolithic Fuzzy Neural Networks

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2009年01期
Page:
12-15
Research Field:
Publishing date:

Info

Title:
Influences of Perturbation of Training Pattern Pairs on Monolithic Fuzzy Neural Networks
Author(s):
HE Chun-mei1YE You-pei1XU Wei-hong2
1.School of Computer Science and Technology,NUST,Nanjing 210094,China;2.School of Computer andCommunication Engineering,Changsha University of Science and Technology,Changsha 410077,China
Keywords:
monolithic fuzzy neural networks learning algorithms perturbation training pattern pairs robustness
PACS:
TP183
DOI:
-
Abstract:
Small perturbations of training pattern pairs may cause some disadvantages to performance of a fuzzy neural network(FNN),and a new concept is established for the robustness of a monolithic fuzzy neural network(MFNN) to perturbations of training pattern pairs.When the training pattern pairs come into the keep-order perturbations,the robustness of MFNN model is analyzed.The concept for the robustness of a FNN to perturbations of training pattern pairs can be defined similarly.The theoretical studies show that the MFNN has good robustness with h=5 when the training pattern pairs come into the γ keep-order perturbations,which is beneficial to the performance analyses,the choice of learning algorithms,and the acquisition of pattern pairs of MFNN.

References:

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Last Update: 2012-11-19