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本文从智能理论角度,选取了2006年—2010年66家中小企业板上市公司作为样本,构建了一个针对中小企业板上市公司的财务危机预警模型。本文利用因子分析法对初选的17个财务指标进行了优化,得到5个预警因子作为输入变量,构建的BP神经网络财务危机预警模型。
From the perspective of intelligence theory, this paper selects 66 small and medium-sized listed companies from 2006 to 2010 as a sample, and builds an early-warning model of financial crisis for small and medium-sized listed companies. In this paper, the 17 primary financial indicators are optimized by factor analysis, and five early warning factors are obtained as input variables to build the BP neural network financial crisis early warning model.