NetworkAlgorithm.PDF

Communications in Information Science and Management Engineering CISME Research on Enterprise Financial Risks Evaluation Based on the Gray Relevance Theory and Neural Network Algorithm 1 2 Zheng Xie , Lianguang Mo Hunan City University, Yiyang, Hunan, China, 413000 1xiezheng1128@163.com; 2molianguang@163.com Abstract -In order to prevent the financial risks of enterprises        (1) i   ,, 1,2,...,n ,n 3 i effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by Where, the reference sequence is using the T-test and nonparametric test in statistical software   ,  1 , 2 , . . . , n SPSS15.0 and the gray relevance theory (GRA). These factors are 0     and the comparative sequence considered as the input variables of BP neural network and 56 is   , i 1,2,..., m, 1,2,..., n