| 单因素土壤墒情预测模型研究 |
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| 引用本文： | 王勇志,赵燕东,马扬飞. 单因素土壤墒情预测模型研究[J]. 灌溉排水学报, 2013, 32(2) |
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| 作者姓名： | 王勇志 赵燕东 马扬飞 |
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| 作者单位： | 北京林业大学工学院,北京,100083 |
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| 基金项目： | 北京市教育委员会共建项目建设计划科学研究与科研基地建设项目 |
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| 摘 要： | 以土壤10、30、50cm深度处的土壤墒情各当前和历史数据不同组合为输入,以30cm处1h后的土壤墒情为预测输出,建立了基于BP神经网络的单因素土壤墒情预测模型。结果表明,模型预测误差约为10%,取得了较好的预测效果。
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| 关 键 词： | 土壤墒情 BP网络 单因素 预测模型 |
The Study on Soil Moisture Forecast Model with Single Factor |
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| Abstract: | A soil moisture forecast model with single factor,based on BP neural network,was eatablished by taking different combinations of current and past soil moisture contents at a depth of 10 cm,30 cm and 50 cm as input,and the soil moisture content an hour later at a depth of 30 cm as output.Results showed that the prediction error was about 10%,and the forecast model obtained better forecasting results.It could provided a new way for the establishment of soil moisture prediction model,and laid the foundation for precision irrigation. |
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| Keywords: | soil moisture BP network single factor forecast model |
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