Coal Mine Enterprises Merger & Acquisition Efficiency Prediction Based on Support Vector Machine

Presently, China coal mine enterprises are under merger and reorganization great environment. These enterprises merger and acquisition (M&A) process efficiency predictions lack theoretical support. The paper constructed coal enterprises M&A efficiency evaluation system, built the M&A efficiency prediction model based on support vector machine (SVM). The paper investigated the data in 2004-2008 of coal enterprises M&A, applying the model made empirical analysis. The results show the method is feasible and effective.