Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection
The fuzzy rule sets, which have been derived from the hybrid neural network model, called the O-EGART-PR-FIS, is an integration of the Adaptive Resonance Theory (ART) into Generalized Regression Neural Network (GRNN), display substantial redundancy and low interpretability that leads to time-consumi...
| Main Authors: | , , |
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| Published: |
2018
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| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/8901 |