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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...

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书目详细资料
Main Authors:	Yap K.S., Wong S.Y., Tiong S.K.
其他作者:	24448864400
格式:	Conference Paper
出版:	2023
主题:	Fault Detection Fuzzy Inference System Genetic Algorithm Rule Extraction Factory automation Fault detection Genetic algorithms Neural networks Adaptive resonance theory Bench-mark problems Classification performance Fuzzy inference systems Generalized Regression Neural Network(GRNN) Hybrid neural networks Prediction process Rule extraction Fuzzy rules
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