An improvement on genetic-based learning method for fuzzy artificial neural networks
Fuzzy artificial neural networks (FANNs), which are the generalizations of artificial neural networks (ANNs), refer to connectionist systems in which all inputs, outputs, weights and biases may be fuzzy values. This paper proposes a two-phase learning method for FANNs, which reduces the generated er...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Elsevier
2009
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/12984/ http://dx.doi.org/10.1016/j.asoc.2009.03.011 |
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| Institution: | Universiti Teknologi Malaysia |