Computer Science – Neural and Evolutionary Computing
Scientific paper
2007-10-25
Dans Design, Automation and Test in Europe - DATE'05, Munich : Allemagne (2005)
Computer Science
Neural and Evolutionary Computing
Submitted on behalf of EDAA (http://www.edaa.com/)
Scientific paper
This issue discusses the fault-trajectory approach suitability for fault diagnosis on analog networks. Recent works have shown promising results concerning a method based on this concept for ATPG for diagnosing faults on analog networks. Such method relies on evolutionary techniques, where a generic algorithm (GA) is coded to generate a set of optimum frequencies capable to disclose faults.
Calvano Jose Vicente
Czendrodi Claudio C.
Mesquita Filho Antonio Carneiro de
Savioli Carlos Eduardo
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