Empirical analysis of the financial risk in the coal industry

The financial pre-warning has an important bearing on the survival and development of an enterprise. Aimed at the character of the coal industry, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization. The result is given that the forecasting model is effective and offers a new method to forecast the financial risk.