Fuzzy neural networks with genetic algorithm-based learning method
This thesis is on the reasoning of artificial neural networks based on granules for both crisp and uncertain data. However, understanding the data in this way is difficult when the data is so complex. Reducing the complexity of the problems that these networks are attempting to learn as well as decr...
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| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/35849/5/MRezaMashinchiPFSKSM2013.pdf http://eprints.utm.my/id/eprint/35849/ |
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