| BP神经网络在土壤水分预测中的应用 |
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| 引用本文： | 田芳明,周志胜,黄操军,孙红江.BP神经网络在土壤水分预测中的应用[J].电子测试,2009(10):14-16,35. |
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| 作者姓名： | 田芳明 周志胜 黄操军 孙红江 |
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| 作者单位： | 1. 黑龙江八一农垦大学信息技术学院,大庆,163319
2. 黑龙江省红星农场,北安,164022 |
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| 基金项目： | 黑龙江八一农垦大学引进、学成归来(博士、硕士)人才科研启动项目 |
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| 摘 要： | 土壤水分预测是一个复杂的非线性系统，受土壤复杂结构和气象因子影响显著，很难建立一个理想的土壤水分预测数学模型。本文利用BP人工神经网络方法建立了土壤水分预测模型，该模型的预报精度较高，其最大绝对误差为3．12％，最小绝对误差为0．63％，平均绝对误差为1．38％。预测结果表明应用BP神经网络建立的土壤水分数学模型适用于土壤水分的预测，能够比较准确的预测土壤水分，具有较好的预测精度。
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| 关 键 词： | 土壤水分 BP神经网络 预测模型 |
Application of BP artificial neural network on prediction of soil water content |
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| Affiliation: | Tian Fangming , Zhou Zhisheng , Huang Caojun, Sun HonRjiang ( 1 College of Information and Technology of Heilongjiang August First Land Reclamation University Daqing 163319 ; 2 Hongxing Farm in Heilongjiang Province Beian 164022) |
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| Abstract: | Soil water content prediction is a complicated nonlinear system, for the complexity of soil structure and meteorological factors. Established the soil water content prediction model based on BP artificial neural network method.. This model has an advantage of high accuracy, whose maximum, minimum and mean relative error are 3. 12%,0. 63 % and 1.38 % ,respectively. The prediction results of applying the BP neural network established mathematical model of soil water content show that the predicted values are coincident well with the observed values,and showed relatively high prediction precision. |
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| Keywords: | soil water content BP neural network prediction model |
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