Calculating the Synthetic Efficiency of Hydroturbine Based on the BP Neural Network and Elman Neural Network

Abstract

The synthetic efficiency of hydroturbine is the foundation and important basis of economic operation of hydropower plants. However, the traditional calculation methods have large amount of calculation, large errors and other problems. To solve the problems better, this paper introduces the Elman neural network and BP neural network to calculate the synthetic efficiency of hydroturbine. Comparing the results of the Elman neural network and the traditional BP neural network, the result shows that, Elman neural network is an effective way to improve the learning speed, effectively suppress the minimum defects that the traditional neural network is easily trapped in, and reduce the error. The result suggests that the Elman neural network has better nonlinear mapping capability than the BP neural network.