摘要
将BP神经网络方法应用于上市公司的财务预警上,构建了上市公司财务预警模型,不仅能发现企业是否存在风险和企业经营是否偏离轨道,向经营者提出警示,以便及时采取相应管理对策,而且还为广大的投资者和银行在内的债权人判定上市公司质量和经营业绩提供科学的手段和可靠的依据.实例分析表明该模型有效、可行,为上市公司财务预警提供了新的途径.
In this paper, the method of BP artificial neural networks is applied to financial crisis prediction of listed companies to develop prediction model on financial crisis. This model can not only find out the risks of the company and whether the company management deviating from the orbit, and then caution the executives to adopt management countermeasures, but also offer scientific means and reliable basis to make these creditors, include large investors and banks, judge listed companies＇ quality and manage achievement. As a new way of Financial crisis prediction, this model is proved effective and feasible.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第4期5-11,共7页
Mathematics in Practice and Theory
基金
国家自然科学基金项目(70171021)
四川省杰出青年基金后续资助项目(126)
关键词
人工神经网络
BP算法
上市公司
财务预警
artificial neural network
BP algorithm
listed company
financial crisis prediction
