| 一种改进的线性回归预测模 |
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| 引用本文： | 薛向阳.一种改进的线性回归预测模[J].科学技术与工程,2010,10(12). |
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| 作者姓名： | 薛向阳 |
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| 作者单位： | 渭南职业技术学院,渭南,714000 |
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| 摘 要： | 用最小二乘法求解线性回归预测方程的回归系数时,计算量比较大,针对这个问题,提出一种改进的线性回归预测模型,该模型和其它预测算法配合,能够对若干种药品的销售额进行预测,挑选的药品种类越多,效率越高。最后通过具体实例验证了该模型是可行、有效的。
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| 关 键 词： | 数据挖掘 线性回归 最小二乘法 模型 |
| 收稿时间： | 2010/1/25 0:00:00 |
| 修稿时间： | 2010/1/25 0:00:00 |
Improved linear regression forecast model |
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| XUE Xiang-yang.Improved linear regression forecast model[J].Science Technology and Engineering,2010,10(12). |
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| Authors: | XUE Xiang-yang |
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| Institution: | Weinan College of Vocational and Technical/a>;Weinan 714000/a>;P.R.China |
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| Abstract: | The calculation is large to determine the linear regression prediction equation coefficients by least-squares method. For this problem, a modified linear regression prediction model is put forward which co-ordinate with other prediction algorithm and forecast the number of drug sales.The more kinds of drugs selected, the higher the efficiency. Finally it proved that the model is feasible and effective through concrete examples. |
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| Keywords: | data mining linear regression least-squares method model |
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