A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification

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A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification

At present, pattern classification is one of the most important aspects of establishing machine intelligence systems for tackling decision-making processes. The fuzzy min-max (FMM) neural network combines the operations of an artificial neural network and fuzzy set theory into a common framework. FM...

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Bibliographic Details
Main Authors:	Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai
Format:	Article
Language:	English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/25102/ http://umpir.ump.edu.my/id/eprint/25102/1/A%20Critical%20Review%20on%20Selected%20Fuzzy%20Min-Max.pdf

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