Abstract
In this paper, a new neural network with genetic algorithm (GA) is described. GA can overcome the disadvantages of back propagation (BP) artificial neural network (ANN), such as slow convergence and possibility of being trapped at locally minimum value. Compared with BP-ANN, the convergence and generalization ability of GA-ANN is improved remarkably. Some typical discharges in large turbine generators are presented and discussed. Test results show that the neural network may discriminate unknown patterns successfully. Some new results are given, and practical application of neural network for pattern recognition of PD in with genetic algorithm is also discussed.
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