2000
DOI: 10.1109/43.822626
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Applying a robust heteroscedastic probabilistic neural network to analog fault detection and classification

Abstract: Abstract-The problem of distinguishing and classifying the responses of analog integrated circuits containing catastrophic faults has aroused recent interest. The problem is made more difficult when parametric variations are taken into account. Hence, statistical methods and techniques such as neural networks have been employed to automate classification. The major drawback to such techniques has been the implicit assumption that the variances of the responses of faulty circuits have been the same as each othe… Show more

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Cited by 40 publications
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