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This paper aims at applying ART-2 neural network algorithm on the research of coal mine safety risk assessment and finally obtains good empirical results by taking some coal mines as the study sample. The results show that the ART-2 neural network algorithm is an appropriate method to assess the safety risk of coal mine. The analysis of empirical results is consistent with the actual situation.
In the article, the mode of controlling and pre-warning risks in safety conditions of coal mine productions and the corresponding MIS are designed according to the safety practice of coal mines productions and the actual state of domestic and abroad researches and by use of modern safety management theories and methods and coal mine essential safety management system. Then the effects of applying...
The rapid development of China coal mine safety management information play an important role on improving mine safety standards, however, there exist some problems such as cannot be a comprehensive system of monitoring, evaluation and analysis of safety, forecasting of security trends, etc. Papers have researched based on this problem, carrying out research on an analysis and collection of security...
Coal mine safety evaluation analyses mine's existent dangerous and harmful factors, and judges mine's potential risks. The evaluation result is propitious to guard against accidents and make management decisions. This paper analyses all kinds of influence elements on coal mine safety, constructs evaluation indexes system, measures weights using AHP, and applies dynamic fuzzy theory in mine safety...
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