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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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IEEE
2019
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| 主題: | |
| 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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