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For analog circuit fault detection in the presence of the considerable number of test nodes problems, put forward the genetic algorithm method combined with BP neural network. Using a global, a parallel genetic algorithm optimization of analog circuit system characteristics of the optimal selection, thereby reducing BP neural network input layer nodes. An example of the simulation data with the MATLAB software programming experiment, The direct use of BP neural network, the detection rate is 66.7%. By using the method of genetic algorithm and BP neural networks, the detection rate is 100%.Results show that, compared with the traditional BP neural network method, this method improves the average accuracy of analog circuit fault detection.