A Method for Fault Diagnosis of Analog Circuits Using Fuzzy Neural Network Combined with Genetic Algorithms
Yanqing Zhu · Journal of Circuits and Systems · 2004
A fault identification approach for nonlinear analogue systems is presented. A fuzzy neural network is developed based on the improved fuzzy weighted reasoning method. The training of network weights and the optimization of membership functions are conducted employing genetic algorithms. Fuzzy rules can be automatically obtained according to the weights of the network. The availability of the method is examined by simulated tests.