Model of Viability Prediction Based on Neural Network and Data Mining Technique for Forest Industry Enterprise
The operating status of a forest industry enterprise is disclosed periodically for viability. As a result, the manager usually only get information about the operating decision. An employer may be in after the formal financial statement has been published. If the employer executives intentionally package financial statements with the purpose of hiding the actual status of the forestry industry enterprise, then manager will have even less chance of obtaining the real financial information. To improve the accuracy of the viability prediction, viability ratios, non-viability ratios, and factor analysis had been used to extract adaptable variables. Moreover, the neural network and data mining technique were used to build the viability prediction model. The empirical experiment with a total of viability and nonviability ratios and projects as the initial samples obtained a satisfactory result, which testifies for the feasibility and validity of our proposed methods for the viability prediction of forestry industry enterprise.
Neural Network Data Mining Viability Prediction
Li Mingjuan Tan Guoshuang
College of Economics & Management, Northeast Forestry University, Harbin, Heilongjiang, 150040, China
国际会议
长沙
英文
1861-1865
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）