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。
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.
出处
《财经理论与实践》
CSSCI
北大核心
2011年第1期92-95,共4页
The Theory and Practice of Finance and Economics
关键词
房地产市场
宏观经济指标
神经网络
人工智能
Real Estate Market
Macro--economic Indices
Neural Networks
Artificial Intelligence
