¹ College of Computer Science and Technology, Jilin University, Changchun, 130012, China
² College of Information, Liaoning University, Shenyang, 110036, China

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Abstract—In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that this method can improve learning speed and carry out fault diagnosis of analog circuit accurately.

Index Terms—analog circuit, fault diagnosis, distributed neural network, Hebb rule

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Cite: Long Wang, Yanheng Liu, Xiaogang Li, Jian Guan, and Qi Song, " Analog Circuit Fault Diagnosis Based on Distributed Neural Network," Journal of Computers vol. 5, no. 11, pp. 1747-1754, 2010.