Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction
Machine Learning is concerned in constructing models which can learn and make predictions based on data. Rule extraction from real world data that are usually tainted with noise, ambiguity, and uncertainty, automatically requires feature selection. Neuro-Fuzzy system (NFS) which is known with its pr...
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2017
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| Online Access: | https://etd.uum.edu.my/6809/1/s93024_01.pdf https://etd.uum.edu.my/6809/2/s93024_02.pdf |
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