A survey of fuzzy min max neural networks for pattern classification: variants and applications

A survey of fuzzy min max neural networks for pattern classification: variants and applications

Over the last few decades, pattern classification has become one of the most important fields of artificial intelligence because it constitutes an essential component in many real-world applications. Artificial neural networks and fuzzy logic are the two most widely used models in pattern classifica...

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Bibliographic Details
Main Authors: Al Sayaydeh, Osama Nayel, Mohammed, Mohammed Falah, Lim, Chee Peng
Format: Article
Language:English
Published: IEEE 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/22646/
http://umpir.ump.edu.my/id/eprint/22646/1/A%20survey%20of%20fuzzy%20min%20max%20neural%20networks%20for%20pattern%20classification.pdf

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