作物蒸发蒸腾量的人工神经网络模型研究(英文)

Study on Artificial Neural Network Model for 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.

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.