a Record control number WOS:000281591300137

a ISSN 1568-4946

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number TK5101

b Item number .T97 2011

a Personal name Abiyev, Rahib H.,

h Medium Electronic Document

a Title A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization.

c Statement of responsibility, etc Rahib H. Abiyev, Okyay Kaynak, Tayseer Alshanableh, Fakhreddin Mamedov.

b Name of publisher, distributor, etc Elsevier Science bv,

c Date of publication, distribution, etc 2011.

a Summary, etc The integration of fuzzy systems and neural networks has recently become a popular approach in engineering fields for modelling and control of uncertain systems. This paper presents the development of novel type-2 neuro-fuzzy system for identification of time-varying systems and equalization of time-varying channels using clustering and gradient algorithms. It combines the advantages of type-2 fuzzy systems and neural networks. The type-2 fuzzy system allows handling the uncertainties associated with information or data in the knowledge base of the process. The structure of the proposed type-2 TSK fuzzy neural system (FNS) is given and its parameter update rule is derived, based on fuzzy clustering and gradient learning algorithm. The proposed structure is used for identification and noise equalization of time-varying systems. The effectiveness of the proposed system is evaluated by comparing the results obtained by the use of models seen in the literature. (C) 2010 Elsevier B.V. All rights reserved.

a Topical term or geographic name as entry element Type-2 fuzzy systems

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Main entry heading Applied soft computing

g Relationship information Jan 2011, Vol.11 Issue 1 p.1396-1406,

x International Standard Serial Number 15684946 .

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1016/j.asoc.2010.04.011