The study about feature selection of analog circuit fault diagnosis based on annealing genetic hybrid algorithm

This paper forms the annealing genetic hybrid algorithm, which is about the genetic algorithm and simulated annealing algorithm improved and integrated. For the problem about feature selection of nonlinear analog circuit fault diagnosis based on Volterra kernel, using annealing genetic hybrid algorithm to research, put forward annealing genetic intelligent selection method of circuit fault diagnosis feature. Experiments show that this method has realized effective selection of analog circuit diagnostic features and improved the prediction accuracy of fault diagnosis system based on BP neural network.