A new fuzzy back-propagation learning method based on derivation of min-max function tuned with genetic algorithms
Nowadays, environments are covered by lots of qualitative (inexact) data. Making proper decisions according to this qualitative data is an ultimate aim. Artificial neural networks can be adapted to the quantitative environments, since they have ability of learning. On the other hand, fuzzy logic has...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2007
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| Online Access: | http://eprints.utm.my/id/eprint/6796/1/MohammadHadiMashinchiMFSKSM2007.pdf |
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