Flexible enhanced fuzzy min–max neural network model for pattern classification problems

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Flexible enhanced fuzzy min–max neural network model for pattern classification problems

In the attempts of building an efficient classifier model, various hybrid computational intelligence models have been introduced. Among these, the enhanced fuzzy min-max (EFMM) model was one of the most recent models coming with many essential features like the ability to provide online learning pro...

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Bibliographic Details
Main Author:	Al-Hroob, Essam Muslem Harb
Format:	Thesis
Language:	English
Published:	2020
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/30400/ http://umpir.ump.edu.my/id/eprint/30400/1/Flexible%20enhanced%20fuzzy%20min%E2%80%93max%20neural%20network%20model.pdf

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