Research article summary (published 29 Sep 2006):

Comments on "Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)".

Full Abstract

In this comment, it will be shown that the backpropagation (BP) equations by Wang et al. 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 et al. This comment will highlight the correct BP tuning equations for the T2FNN.

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Author information

Author/s: Hagras, Hani (H);

Journal and publication information

Publication Type: Comment; Comparative Study; Letter

Journal: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society (IEEE Trans Syst Man Cybern B Cybern), published in United States. (Language: eng)

Reference: 2006-Oct; vol 36 (issue 5) : pp 1206-9

Dates: Created 2006/10/12; Completed 2006/11/20;

PMID: 17036826, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

Comments and Corrections

CommentOn: IEEE Trans Syst Man Cybern B Cybern. 2004 Jun;34(3):1462-77. (PMID: 15484917)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms Artificial Intelligence Feedback

Fuzzy Logic Neural Networks (Computer) Pattern Recognition, Automated

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