| 曹应举,张永彬,温继满,汲姣,刘佳丽.Matlab多元线性回归预测城市建成区面积[J].唐山学院学报,2018,31(3):60-65 |
| Matlab多元线性回归预测城市建成区面积 |
| Prediction of Urban Built-up Area by Matlab Multiple Linear Regression |
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| DOI：10.16160/j.cnki.tsxyxb.2018.03.013 |
| 中文关键词: 城市建成区面积 多元线性回归 Matlab软件 最小二乘法 |
| 英文关键词: urban built-up area multivariate linear regression Matlab Partial Least Square |
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| 摘要点击次数: 7422 |
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| 中文摘要: |
| 以2015年全国25个省会城市的建成区面积为研究对象，选择影响城市建成区面积的经济社会影响因子，将最小二乘法与Matlab软件相结合，研究及预测了城市建成区面积的影响因素，同时较好地解决了运用传统的纯数学方法的计算量大、计算过程麻烦的问题。研究结果表明：建成区面积主要受生产总值、第二产业、工业、第三产业的影响，即经济指标的影响程度较大。 |
| 英文摘要: |
| With the built-up areas of the 25 provincial capital cities in 2015 as the research object, the authors of this paper determine the economic and social factors affecting the urban built-up areas,combine Partial Least Square and Matlab, study and predict the influencing factors of the urban built-up area. In this way the problem of overmuch calculation and a troublesome calculation process with a traditional mathematical method can be solved. The research results show that the built-up areas are mainly affected by the gross value, secondary industries, industries, and the tertiary industries, ie, the impact of the economic indicators is greater. |
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