Diagnosis of Technical Equipment using a Bayesian Neural Network
SANS—Studies of Artificial Neural SystemsDepartment of Numerical Analysis and Computing ScienceRoyal Institute of Technology, S–100 44 Stockholm, Swedenaho@sans.kth.se, ala@sans.kth.se
Abstract
The Bayesian neural network implements an optimal Bayesian classifier in the case of independent evidence. If the evidence is not independent, a hidden layer with an independent representation can be used in the network, to overcome this limitation on the evidence. This Bayesian neural network has been tested on a realistic task of classifying faults in a telephone exchange computer, with very good results. The results are compared to those of a backpropagation ...
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