Study on Artificial Neural Network Model for Crop Evapotranspiration  

作物蒸发蒸腾量的人工神经网络模型研究(英文)

作　　者：冯雪[1] 潘英华[1] 张振华[1] 

机构地区：[1]鲁东大学地理与规划学院,山东烟台264025

出　　处：《Agricultural Science & Technology》2007年第3期11-14,41,共5页农业科学与技术（英文版）

基　　金：Supported by the National Natural Science Foundation of China(50609022)~~

摘　　要：Based on potted plant experiment, BP-artifieial neural network was used to simulate crop evapotranspiration and 3 kinds of artificial neural network models were constructed as ET1 （meteorological factors）, ET2（ meteorological factors and sowing days） and ET3 （meteorological factors, sowing days and water content）. And the predicted result was compared with actual value ET that was obtained by weighing method. The results showed that the ET3 model had higher calculation precision and an optimum BP-artificial neural network model for calculating crop evapotranspiration.Based on potted plant experiment,BP-artificial neural network was used to simulate crop evapotranspiration and 3 kinds of artificial neural network models were constructed as ET1(meteorological factors),ET2(meteorological factors and sowing days)and ET3(meteorological factors,sowing days and water content).And the predicted result was compared with actual value ET that was obtained by weighing method.The results showed that the ET3 model had higher calculation precision and an optimum BP-artificial neural network model for calculating crop evapotranspiration.

关 键 词：Crop evapotranspiration BP-artificial neural network Fitting precision 

分 类 号：S311[农业科学—作物栽培与耕作技术] S126[农业科学—农艺学]