Estimation of Vegetation Ecological Water Requirement in Arid Areas Based on Neural Network

With a powerful capability in nonlinear mapping, the neural network has been applied widely in patter recognition and nonlinear estimation. Based on the theoretical model of vegetation ecological water requirement in arid areas, this article has estimated the vegetation ecological water requirement in lower Heihe River reaches, by use of back propagation (BP) network and radial basis function (RBF) network in Matlab.