| 作物蒸发蒸腾量的人工神经网络模型研究 |
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| 引用本文： | 冯雪,潘英华,张振华.作物蒸发蒸腾量的人工神经网络模型研究[J].农业科学与技术,2007,8(3):11-15. |
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| 作者姓名： | 冯雪 潘英华 张振华 |
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| 作者单位： | 鲁东大学地理与规划学院,山东烟台264025 |
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| 摘 要： | 利用BP-人工神经网络考虑气象条件、土壤水分条件以及作物的生物学特性3方面因素，构建作物蒸发蒸腾量（ET）模型。
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| 关 键 词： | Crop evapotrmispiration BP-artificial neural network Fitting precision 作物蒸发蒸腾量 人工神经 网络模型 研究 EVapotranspiration Crop Neural Network Model Artificial results neural network model calculation precision optimum evapotranspiration value method water content factors used simulate |
| 修稿时间： | 2007年11月7日 |
Study on Artificial Neural Network Model for Crop EVapotranspiration |
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| FENG Xue,PAN Ying-hua,ZHNAG Zhen-hua.Study on Artificial Neural Network Model for Crop EVapotranspiration[J].Agricultural Science ＆ Technology,2007,8(3):11-15. |
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| Authors: | FENG Xue PAN Ying-hua ZHNAG Zhen-hua |
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| Abstract: | Based on potted plant experiment,BP-artificial neural network was used to simulate crop evapotranspimtion and 3 kinds of artificial neural network models wero constructed as ET1(meteomlogical factors),ET2(meteorological factors and sowing days)and ET3(meteomlogical factors,sowing days and water content). And the predicted result was compared with actual value ET that Was obtained by weishing method.The results showed that the ET3 model had higher calculation precision and an optimum BP-artificial neural network model for calculating crop evapotranspiration. |
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| Keywords: | Crop evapotrmispiration BP-artificial neural network Fitting precision |
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