基于GN-BFGS算法的青铜峡灌区退水量预测

Prediction of Drainage Water Volume in Qingtong Gorge Irrigation District Based on GN-BFGS Algorithm

分析了神经网络的GN-BFGS学习算法的基本工作原理及其方法,并利用该方法建立了宁夏青铜峡灌区退水量预测模型。预测结果表明:用该算法建立的干旱区灌区退水量预测模型具有良好的预测效果。

This paper analyses the basic working principle and its method of GN-BFGS learning algorithm of neural network, on the basis of using this method, the model for prediction of drainage water volume in Qingtong Gorge Irrigation District of Ningxia Hui Autonomous Region is established. The predicted results indicate that the model for prediction of drainage water volume in the irrigation district of the arid areas established by using this algorithm is of better results in prediction effect.