25 March 1998 Knowledge manipulation in a Hebbian network for fault diagnosis
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Abstract
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Da Deng, Da Deng, Shuang Li, Shuang Li, } "Knowledge manipulation in a Hebbian network for fault diagnosis", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); doi: 10.1117/12.304799; https://doi.org/10.1117/12.304799
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