Gray Expansion Combined GA—BP Neural Network Model for Water Quality Retrieving of Weihe River by Remote Sensing
结合灰色扩充的GA—BP神经网络模型在渭河水质遥感反演中的应用

Aiming at the Weihe river in Shaanxi,a gray expanded GA—BP(Genetic Algorithm—Back Propagation) neural network model is established in this paper,which combines the BP neural network improved by GA with the gray theory.It is used to retrieve the four main pollution index (permanganate index),(chemical oxygen demand),(ammonia nitrogen), (dissolved oxygen) for Weihe river.Experimental results show that compared with the ordinary BP neural network model and the traditional multiple linear regression model,the improved artificial neural network has better prediction accuracy,and can be used to retrieve Weihe river quality parameters by remote sensing.