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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...
The paper constructed the data envelope analysis input and output index system of coal mine safety investment. Adopting the method to make the empirical analysis of a mining group safety investment efficiency, the results show: the group safety investment efficiency conforms to China coal industry regularity; 2005, it should reduce the number of workers, strengthen the safety management, at the same...
Mine work face gas emission quantity is an important mine design basis, which also has important practical significance for guide mine design, ventilation and safety production. Mine gas emission quantity and work face multi factors have complex non-linear relationship. The paper built the work face gas emission prediction support vector machine (SVM) model. Based on data statistic of a mine work...
Presently, Chinapsilas coal enterprises are under the merger and acquisition (M&A) phrase environment. Enterprises M&A are frequent. As coal enterprises M&As have bigger uncertainty and risk, facing all kinds, varying degree objectively exist risks, coal enterprises decision-makers deeply feel unable, and urgently need related theoritcal guidance and help. The paper from three aspects...
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