摘要
分析了多目标综合评价的特点 ,提出了一种基于BP神经网络的上市公司综合评价方法。以高科技板块为例 ,在对该板块上市公司财务指标的原始数据进行无量纲化处理后 ,用经过训练的BP神经网络对其进行综合评价 ,得出较满意的综合评价结果。
This paper analyses properties of multiobjective synthetic evaluation and puts forward a model of synthetic evaluation of listed company based on BP networks.By using hi-tech sorts as an example, after changing the evaluation values into values in range of with no dimension,the BP neural networks which have been trained are applied to the synthetic evaluation of 30 listed company in China. The results are satisfactory.
出处
《青岛大学学报（工程技术版）》
CAS
2002年第2期1-3,24,共4页
Journal of Qingdao University(Engineering & Technology Edition)
基金
国家自然科学基金资助项目 (79970 114 )
