Analysis on Misclassification in Existing Contraction of Fuzzy Min–max Models

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Analysis on Misclassification in Existing Contraction of Fuzzy Min–max Models

Fuzzy min–max (FMM) neural network is one of the most powerful models for pattern classification. Various models have been introduced based on FMM model to improve the classification performance. However, the misclassification of the contraction process is a crucial issue that has to be handled in F...

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Bibliographic Details
Main Authors:	Alhroob, Essam, Mohammed, Mohammed Falah, Al Sayaydeh, Osama Nayel, Hujainah, Fadhl, Ngahzaifa, Ab. Ghani
Format:	Conference or Workshop Item
Language:	English
Published:	Springer International Publishing 2020
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/25535/ http://umpir.ump.edu.my/id/eprint/25535/1/Analysis%20on%20Misclassification%20in%20Existing.pdf

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