Neural Network Automatic Test Pattern Generator
نویسنده
چکیده
This paper discusses the technique for modeling a test generation problem using neural networks. Through examples, it illustrates the representation of a digital circuit as a hopfield network; the translation of faults to the same and the generation of test vectors for it. The results that have been reported, clearly indicate the advantage in using it as a means of parallelizing the test generation process.Further, faster ways of implementing the energy minimization using quadratic 0-1 programming are discussed.
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