| 煤炭需求预测模型分析 |
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| 引用本文： | 蔡武,袁莎莎,张强.煤炭需求预测模型分析[J].露天采矿技术,2009(4):91-93. |
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| 作者姓名： | 蔡武 袁莎莎 张强 |
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| 作者单位： | 1. 中国矿业大学矿业工程学院,江苏,徐州,221116
2. 中国矿业大学计算机科学与技术学院,江苏,徐州,221116 |
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| 摘 要： | 基于最小二乘曲线拟合、灰色预测和最优组合模型,提出了全国煤炭需求量的预测模型,并利用各模型预测了全国2009-2013年的煤炭需求量。最后,对3种模型的预测结果作了分析,得出结论:最优组合预测模型从总体上起到了提高预测精度的作用,用此方法进行预测是有效的,预测的结果是可信的。
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| 关 键 词： | 煤炭需求 最小二乘曲线拟合 灰色预测 最优组合预测 |
Analysis of prediction model Oil coal demand |
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| CAI Wu,YUAN Sha-sha,ZHANG Qiang.Analysis of prediction model Oil coal demand[J].Opencast Mining Technology,2009(4):91-93. |
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| Authors: | CAI Wu YUAN Sha-sha ZHANG Qiang |
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| Abstract: | Based on the model of least squares curve fitting,gray prediction and optimal combination,a model for forecasting the coal demand is put forward,With the model,prediction is made of the coal demand from 2009 to 2013.Finally,the predictable results of the three models are discussed,come to the conclusion: the optimal combination forecasting model on the whole plays a role in improving prediction accuracy,using this method is effective,the predictable results are credible. |
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| Keywords: | coal demand least squares curve fitting gray prediction optimal combination forecasting |
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