Fuzzy Min-Max Classifier Based on New Membership Function for Pattern Classification: A Conceptual Solution

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Fuzzy Min-Max Classifier Based on New Membership Function for Pattern Classification: A Conceptual Solution

The fuzzy min-max (FMM) neural network is one of the most powerful neural networks that combines neural network and fuzzy set theory into a common framework for tackling pattern classification problems. FMM neural network carries out learning processes that consist of hyperbox expansion, hyperbox ov...

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Bibliographic Details
Main Authors:	Alhroob, Essam, Ngahzaifa, Ab. Ghani
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/25103/ http://umpir.ump.edu.my/id/eprint/25103/1/Green%20sonochemical%20synthesis%20of%20few1.pdf

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