Meta-cognitive learning algorithm for neuro-fuzzy inference systems
Neuro-fuzzy systems are learning machines that employ algorithms derived from artificial neural networks to find the parameters of a fuzzy inference system. These hybrid-intelligent systems can learn fuzzy rules from the data, while preserving their semantic properties. The learning algorithms emplo...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/61828 |