| BP人工神经网络在我国工业企业景气指数预测中的应用 |
| |
| 引用本文： | 吴海民.BP人工神经网络在我国工业企业景气指数预测中的应用[J].兰州商学院学报,2007,23(2):84-90. |
| |
| 作者姓名： | 吴海民 |
| |
| 作者单位： | 五邑大学,管理学院,广东,江门,529020 |
| |
| 摘 要： | 影响企业景气指数波动的因素十分复杂,采用常规的数理统计预测方法难以准确及时地反映景气运行的真实规律.因此,本文引入人工智能技术,利用神经网络能从历史数据资料中自动提取特征规律并进行智能预测的优点,对我国2000～2005年24个季度的工业企业景气指数进行了仿真和预测,并获得了满意的结果.
|
| 关 键 词： | 企业景气指数 工业 人工神经网络 预测 |
| 文章编号： | 1004-5465（2007）02-084-07 |
| 收稿时间： | 2006-11-17 |
| 修稿时间： | 2006年11月17 |
The Application of BP- Artificial Neural Network Theory in the Forecast of Chinese Industrial Business Climate Index |
| |
| WU Hai-min.The Application of BP- Artificial Neural Network Theory in the Forecast of Chinese Industrial Business Climate Index[J].Journal of Lanzhou Commercial College,2007,23(2):84-90. |
| |
| Authors: | WU Hai-min |
| |
| Institution: | School of Management, Wuyi University, Jiangmen 529020, China |
| |
| Abstract: | The factors that affect the industrial business climate index are extremely complex,thus it can not accurately and promptly reflect the real law of business climate with conventional mathematical and statistical methods.Based on the merits of the neural network that can automatically extract the characteristics and rules from historical data and carry on intelligent forecast,and through introducing the artificial intelligence,this article simulated and forecasted 24 quarters industrial business climate indices in China from 2000 to 2005,and obtained the satisfactory result. |
| |
| Keywords: | business climate index industry artificial neural network forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
