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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Application of PSO-Adaptive Neural-fuzzy Inference System (ANFIS) in Analog Circuit Fault Diagnosis
verfasst von : Lei Zuo, Ligang Hou, Wang Zhang, Shuqin Geng, Wucheng Wu
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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In order to solve the problem of fault diagnosis method for analog IC diagnosis, the method based on Adaptive Neural-fuzzy Inference System (ANFIS) is proposed. Using subtractive clustering and Particle Swarm Optimization (PSO)-hybrid algorithm as a tool for building the fault diagnosis model, then, the model of fault diagnosis system was used to the circuit fault diagnosis. Simulation results have shown that the method is more effective.