Constrained optimization in pattern classification using ART

Shuyu Yang, Sunanda Mitra

Research output: Contribution to conferencePaper

Abstract

Pattern classification problems involve constrained optimization in the form of minimization of chosen cost functions. Such embedded constraints in integrated neural-fuzzy pattern recognition systems improve the performance of these systems. The comparative performance of an ART-based pattern classifier integrated with fuzzy optimization constraints is demonstrated in designing vector quantizers.

Original languageEnglish
Pages2662-2667
Number of pages6
StatePublished - 2002
Event2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, United States
Duration: May 12 2002May 17 2002

Conference

Conference2002 International Joint Conference on Neural Networks (IJCNN'02)
CountryUnited States
CityHonolulu, HI
Period05/12/0205/17/02

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