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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...

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書誌詳細
主要な著者:	Alhroob, Essam, Mohammed, Mohammed Falah, Lim, Chee Peng, Tao, Hai
フォーマット:	論文
言語:	English
出版事項:	IEEE 2019
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	http://umpir.ump.edu.my/id/eprint/25102/1/A%20Critical%20Review%20on%20Selected%20Fuzzy%20Min-Max.pdf http://umpir.ump.edu.my/id/eprint/25102/ https://doi.org/10.1109/ACCESS.2019.2911955 https://doi.org/10.1109/ACCESS.2019.2911955
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