Probabilistic training procedure for neural network based power system diagnostic software

E.S. Glinker, S.Y. Mansour · 2002

This paper outlines a procedure which uses a power system description language to train a neural network to generate conditional probabilities for device failures. The proposed method minimizes the need for the use of explicit conditional statements.

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