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A new fault classification system for analog circuits is presented. The proposed system utilises the pattern recognition potential of neural networks and the population-based search strategy of genetic algorithms in detecting and isolating faults in analog circuits. Features that characterise the circuit behaviour under fault-free and fault situations are first simulated or measured. An unsupervised...
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