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: | Theses and Dissertations |
Language: | English |
Published: |
2014
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Online Access: | https://hdl.handle.net/10356/61828 |
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Institution: | Nanyang Technological University |
Language: | English |