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...
Main Authors: | Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25102/ http://umpir.ump.edu.my/id/eprint/25102/ 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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