| 基于支持向量机回归模型的重庆市房地产金融风险预警研究 |
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| 引用本文： | 李琴. 基于支持向量机回归模型的重庆市房地产金融风险预警研究[J]. 重庆理工大学学报(社会科学版), 2015, 0(11): 78-82. DOI: 10.3969/j.issn.1674-8425(s).2015.11.012 |
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| 作者姓名： | 李琴 |
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| 作者单位： | 重庆理工大学 MBA 教育中心,重庆,400050 |
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| 摘 要： | 以房地产金融风险单项指标的评价标准为依据，利用基于支持向量机（SVM）的回归分析模型对重庆市房地产的金融风险状况进行预警分析研究。通过研究评价指标变量与模型输出数值之间的关系，分析房地产金融风险状况与各评价指标变量的非线性关系，预测出各年度的金融风险状况及金融风险的走势，从而为有针对性地降低金融风险水平制定相应的宏观调控政策提供理论参考。
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| 关 键 词： | 房地产 金融风险 预警模型 支持向量机 回归分析 |
Financial Risk Warning Model Research of Chongqing Real Estate Based on Support Vector Machine Regression Model |
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| Abstract: | We used the evaluation criteria real estate financial risks of individual indicators as the ba-sis,and used support vector machine (SVM)regression analysis model to have early warning analysis on the financial risk profile of Chongqing real estate.By studying the relationship between the indica-tor variables and evaluating model output value to analyze the non-linear relationship between real es-tate financial analysis and risk profile of each index variables,we predicted the financial risk profile of each year and the financial the trend of risk,so as to provide the basis in reducing the financial risk targeted level. |
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| Keywords: | real estate financial risk warning model support vector machine regression analysis |
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