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 non-viability 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.