BP-Neural Network Model for Financial Risk Warning in Medicine Listed Company

摘要：

This paper mainly discusses the financial data of listed 71 medicine companies in order to establish a more accurate financial pre-warning model with the analysis of BP (Back Propagation)-nennil network, by choosing 38 comprehensive indexes which reflect the financial distress, basing on the study of comparison of financial pre-warning models. The result shows that BP-neural network model is of high accuracy for pre-warning the financial distress in this industry.

关键词： Financial distress BP-neural network Model Listed medicine company

作者: Hong Shen Juan Cui Zhongbo Zhou Hao Min

作者单位: School of Public Economics and Administration Shanghai University of Finance and Economics Shanghai, China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 767-770

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）