摘要
上市公司竞争力的科学评价,对如何正确引导上市公司的发展具有重要意义.通过因子分析与BP神经网络两种综合评价方法的比较,发现非线性的BP神经网络方法在上市公司竞争力的综合评价上,比传统的线性综合评价方法更具真实性和科学性,并就如何提升辽宁省上市公司竞争力给出了政策建议.
How to effectively evaluate the competence of listed companies is of great importance to help promote the development of listed companies. Through the comparison of the factor analysis and Back Propagation neural network method; it is found that BP neural network method is more effective than traditional linear evaluation method, and some suggestions are made to improve competence of Liaoning province's listed companies.
出处
《数学的实践与认识》
CSCD
北大核心
2010年第7期96-105,共10页
Mathematics in Practice and Theory
基金
辽宁省哲学社会科学规划基金项目"辽宁省上市公司竞争力评价研究"(L08BTJ015)
关键词
上市公司竞争力
因子分析
BP神经网络
综合评价
competence of listed companies
factor analysis
BP neural network
synthetical evaluation