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...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2019
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|