Abstract In order to extend the actual application based on back-propagation (BP) neural network to forecast the regional water resource demand,taking Jinhua as an example,the three types of the main factors of water resource demand in Jinhua werefigured out by principal component analysis,which included dynamic changes of economy, improvement of the water resource exploring and serious pollution of water resources. To predict the water resource demand in the region,BP neural network model was applied. Through the network learning and training,the total water resource demand in Jinhua would reach to 21.935 280 × 108 m 3 in 2010.It can provide some reference to build a plan of the regional development which is coordinated with the water resources.
LIU Dan-dan,FENG Li-hua,WANG Ning. Forecast of regional water resource demand based on back‐propagation neural network — taking Jinhua as an example. Journal of Zhejiang University: Agric. & Life Sci., 2011, 37(2): 231-236.
