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| 基于BP神经网络的河北省耕地生产力预测 | |
| 引用本文： | 刘磊,刘瑞卿,石剑,李新旺,张路路,霍习良. 基于BP神经网络的河北省耕地生产力预测[J]. 农机化研究, 2012, 34(5): 26-29 |
| 作者姓名： | 刘磊 刘瑞卿 石剑 李新旺 张路路 霍习良 |
| 作者单位： | 1. 河北农业大学国土资源学院,河北保定,071001 2. 河北省水土保持工作总站,石家庄,050021 3. 河北省土地学会,石家庄,050091 |
| 基金项目： | 国家重点基础研究发展规划项目 |
| 摘 要： | 鉴于BP网络在处理非线性复杂系统的优势,以河北省为研究对象,构建一个9-5-1结构的BP神经网络预测模型,将1987-2005年的相关数据作为模型的训练样本,以2006年的粮价政策、农资投入量和农民收入等数据作为网络的预测输入,对该年的河北省粮食单产进行预测。结果表明,BP神经网络预测结果与实际粮食单产的相对误差为0.86%,预测精度优于传统的多元回归统计模型。 |
| 关 键 词： | 粮食单产 耕地生产力 BP神经网络 河北省 |
The Forecast of the Cultivated Land of Hebei Province Based on BP Neural Network |
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| Liu Lei , Liu Ruiqing , Shi Jian , Li Xinwang , Zhang Lulu , Huo Xiliang. The Forecast of the Cultivated Land of Hebei Province Based on BP Neural Network[J]. Journal of Agricultural Mechanization Research, 2012, 34(5): 26-29 | |
| Authors: | Liu Lei Liu Ruiqing Shi Jian Li Xinwang Zhang Lulu Huo Xiliang |
| Affiliation: | 1(1.College of Resources and Environmental Sciences,Agricultural University of Hebei,Baoding 071001,China;2.General Station of Soil and Water Conservation,Water Conservancy of Hebei Province,Shijiazhuang 050021,China;3.Hebei Province Land Science Society,Shijiazhuang 050091,China) |
| Abstract: | Since BP network has the advantage in dealing with nonlinear complex systems,a BP neural network predictor model of 9-5-1 structure was built in this paper.It took Hebei province for example and made the relevant data of 1987-2005 as the training samples of the model.The forecast of grain yield per unit area of Hebei province would be known by taking the policy of grain price,the count of agriculture inputs and income for farmers as the prediction input of network.The results showed that the relative error between the consequence forecasted by BP neural network and the actual grain yield per unit area was 0.86%.BP neural network has a higher prediction accuracy than regression model of multivariate statistics. |
| Keywords: | grain per unit area yield cultivated land productivity BP neural network Hebei Province |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |