Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/61801
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dc.titleAn efficient computational algorithm for min-max operations
dc.contributor.authorZhang, X.
dc.contributor.authorTan, S.
dc.contributor.authorHang, C.-C.
dc.contributor.authorWang, P.-Z.
dc.date.accessioned2014-06-17T06:44:08Z
dc.date.available2014-06-17T06:44:08Z
dc.date.issued1999-06-01
dc.identifier.citationZhang, X.,Tan, S.,Hang, C.-C.,Wang, P.-Z. (1999-06-01). An efficient computational algorithm for min-max operations. Fuzzy Sets and Systems 104 (2) : 297-304. ScholarBank@NUS Repository.
dc.identifier.issn01650114
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/61801
dc.description.abstractThis paper describes an efficient computational algorithm for evaluating min-max operations and the derivatives of min-max functions, which are common computation problems in the training of many types of fuzzy neural networks. Analysis and simulation are used to assess the efficiency of the computational algorithm developed in this paper. © 1999 Elsevier Science B.V. All rights reserved.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleFuzzy Sets and Systems
dc.description.volume104
dc.description.issue2
dc.description.page297-304
dc.identifier.isiutNOT_IN_WOS
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