| 我国房地产市场景气状况的宏观影响因素研究 |
| |
| 引用本文： | 谢冰,戴盛,蔡洋萍.我国房地产市场景气状况的宏观影响因素研究[J].财经理论与实践,2011,32(1):92-95. |
| |
| 作者姓名： | 谢冰 戴盛 蔡洋萍 |
| |
| 作者单位： | 湖南商学院工商管理系;湖南农业大学经济学院; |
| |
| 摘 要： | 我国房地产市场作为一个复杂的经济系统,使用非线性人工智能方法对其进行研究具有显著的优越性。本文通过将宏观经济指标数据指标作为输入变量,使用神经网络结合基因搜索算法进行训练与模拟,得出了主要经济指标房地产市的场影响程度排序,并得出了外汇储备规模的变动已成为影响房地产景气程度的重要影响因素这一结论。
|
| 关 键 词： | 房地产市场 宏观经济指标 神经网络 人工智能 |
The Macro Effect Factors of Real Estate Market in Our Country |
| |
| XIE Bing,DAI Sheng,CAI Yang-ping.The Macro Effect Factors of Real Estate Market in Our Country[J].The Theory and Practice of Finance and Economics,2011,32(1):92-95. |
| |
| Authors: | XIE Bing DAI Sheng CAI Yang-ping |
| |
| Institution: | XIE Bing1,DAI Sheng1,CAI Yang-ping2 (1.Department of Business Administration,Hunan Business College,Changsha,Hunan 410205,China,2.College of Economics,Hunan Agricultural University,Hunan 410128,China) |
| |
| Abstract: | The real estate market in China is a complicated economic system.The non-linear artificial intelligence method is a good way to analyze it.Through integrating neural network with genetic searching algorithm to train and simulate,the macro effect factors are ranked.It is found that the foreign exchange reserve is an important factor that affects the real estate market. |
| |
| Keywords: | Real Estate Market Macro-economic Indices Neural Networks Artificial Intelligence |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《财经理论与实践》浏览原始摘要信息 |
| 点击此处可从《财经理论与实践》下载免费的PDF全文 |
|
