Title :
Estimation of Vegetation Ecological Water Requirement in Arid Areas Based on Neural Network
Author :
Zhang, Li ; Zhao, Mengdie ; Gao, Yuan
Author_Institution :
North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
Abstract :
With a powerful capability in nonlinear mapping, the neural network has been applied widely in pattern 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.
Keywords :
backpropagation; ecology; radial basis function networks; BP network; Heihe River; RBF network; arid area; back propagation network; neural network; nonlinear estimation; nonlinear mapping; patter recognition; radial basis function network; vegetation ecological water requirement; Biological system modeling; Estimation; Rivers; Vegetation; Vegetation mapping; Water conservation; Water resources; Heihe River basin; Matlab; arid areas; ecological water requirement; neural network;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
DOI :
10.1109/ISCID.2010.14
