DocumentCode :
759565
Title :
Comments on "Dynamical Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN)
Author :
Hagras, Hani
Author_Institution :
Dept. of Comput. Sci., Essex Univ., Colchester
Volume :
36
Issue :
5
fYear :
2006
Firstpage :
1206
Lastpage :
1209
Abstract :
In this comment, it will be shown that the backpropagation (BP) equations by Wang are not correct. These BP equations were used to tune the parameters of the antecedent type-2 membership functions as well as the consequent part of the interval type-2 fuzzy neural networks (T2FNNs). These incorrect equations would have led to erroneous results, and hence this might affect the comparisons and findings presented by Wang This comment will highlight the correct BP tuning equations for the T2FNN
Keywords :
backpropagation; fuzzy logic; fuzzy neural nets; fuzzy systems; BP tuning equation; backpropagation; dynamical optimal training; interval type-2 fuzzy neural network; type-2 fuzzy logic system; type-2 membership function; Backpropagation algorithms; Computer science; Equations; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Heuristic algorithms; Uncertainty; Interval type-2 fuzzy neural network (T2FNN); type-2 fuzzy logic systems; Algorithms; Artificial Intelligence; Feedback; Fuzzy Logic; Neural Networks (Computer); Pattern Recognition, Automated;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TCSI.2006.873184
Filename :
1703662
Link To Document :
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