Prediction of Agricultural Water Consumption in 2 Regions of China Based on Fractional-Order Cumulative Discrete GreyModel
In this paper, a new forecasting method of agricultural water demand, fractional-order cumulative discrete grey model, is proposed. Firstly, the best fitting of historical data is used to construct the optimization model. MATLAB programming is applied to solve the optimization model and obtain the o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Hindawi
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32219/1/Prediction%20of%20Agricultural%20Water%20Consumption%20in%202%20Regions%20of%20China%20Based%20on%20Fractional-Order%20Cumulative%20Discrete%20GreyModel.pdf https://eprints.ums.edu.my/id/eprint/32219/2/Prediction%20of%20Agricultural%20Water%20Consumption%20in%202%20Regions%20of%20China%20Based%20on%20Fractional-Order%20Cumulative%20Discrete%20GreyModel1.pdf https://eprints.ums.edu.my/id/eprint/32219/ https://www.hindawi.com/journals/jmath/2021/3023385/ https://doi.org/10.1155/2021/3023385 |
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