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Analog circuit fault diagnosis can be regarded as the pattern recognition issue and addressed by machine learning theory. As compared with neural networks, support Vector Machine (SVM) is based on statistical learning theory, which has advantages of better classification ability and generalization performance. The marr wavelet kernel is proposed and the existence is proven by theoretic analysis and...
Fault diagnosis of analog circuits is really important for development and maintenance of safe and reliable electronic circuits and systems. It can be modeled as a pattern recognition problem and addressed by multi-class support vector machines (SVMs). In this paper, one-against-one SVM and directed a cyclic graph SVM are adopted to diagnose the faulty analog circuit. Aiming at the uncertainty of...
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