Knowledge manipulation in a Hebbian network for fault diagnosis
1998
Recently research on hybrid solutions for fault diagnosis problems. In this paper we propose a neural network implementation of diagnosis systems. Based on certainty factor modeling and Hebbian learning, the network features with local learning ability, quasi-causal representation of diagnosis process, and easy mechanism of knowledge manipulation.
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