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- W2390984730 abstract "The variation process of reference crop evapotranspiration(ET_0)was regarded as time series and the ET_0 data in passed three days were selected as the influencing factors to establish a BP neural network model with three layers for prediction.The meteorological data obtained from weather forecast,such as maximum,minimum and average daily temperature,weather index,number of days in the year and wind_force,were used to improve the performance of the model.The observation data from Sheyang County,Jiangsu Province,were used to train and test the model.The result shows that the proposed model can well reflect the relationships between ET_0 and relevant factors." @default.
- W2390984730 created "2016-06-24" @default.
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- W2390984730 date "2006-01-01" @default.
- W2390984730 modified "2023-09-24" @default.
- W2390984730 title "Neural network model for reference crop evapotranspiration prediction based on weather forecast" @default.
- W2390984730 hasPublicationYear "2006" @default.
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