[1]WU Kai-fu.Discuss on Daily Crop Evapotranspiration Forecast Based on Gray Relation Analysis and BP Neural Network[J].Research of Soil and Water Conservation,2011,18(02):237-240.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 02
Page number:
237-240
Column:
Public date:
2011-04-20
- Title:
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Discuss on Daily Crop Evapotranspiration Forecast Based on Gray Relation Analysis and BP Neural Network
- Author(s):
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WU Kai-fu
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Institute of Hydraulic & Hydropower Research of Xinjiang, Urumqi 830049, China
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- Keywords:
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crop evapotranspiration; gray relation analysis; BP neural network
- CLC:
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S501
- DOI:
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- Abstract:
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Reference crop evapotranspiration is the development of irrigation water plan, the most basic water allocation plan, and one of the most important indicators, the accurate prediction can improve the irrigation forecast precision. In this paper, the relational analysis in the gray system theory was applied to analyze the influences of various meteorological factors on evapotranspiration by selecting the impact of evapotranspiration in the main meteorological factors such as the input vector to refer to evapotranspiration as the output vector, to establish BP neural network model on evapotranspiration and the main meteorological factors. An example shows that the method is simple, relatively high prediction accuracy and can meet actual production needs.