Neural Network Optimization Methods for Analog Circuit Fault Diagnosis
Cui Jinku · Electronic Science and Technology · 2014
The features of fault diagnosis and analog circuits are introduced briefly,and the present situation and research methods of fault diagnosis are analyzed. In view of neural networks used in fault diagnosis of analog circuits,methods( such as: wavelet transform,genetic algorithm,fuzzy theory,particle swarm optimization algorithm and clustering algorithm) are elaborated to optimize the neural networks. The future direction is discussed.