Advances in Earth Science ›› 2004, Vol. 19 ›› Issue (5): 860-866. doi: 10.11867/j.issn.1001-8166.2004.05.0860
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WU Cai-fang, ZENG Yong, QIN Yong
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WU Cai-fang, ZENG Yong, QIN Yong. THE APPLICATION OF THE ANALYTIC METHODS OF NEURAL NETWORKS TO GAS-FORECASTING FIELD[J]. Advances in Earth Science, 2004, 19(5): 860-866.
The research state of the gas-forecasting technologies and the new problems in the field of modern mining are explained. The advantage of neural networks in dealing with the complicated geological factors is introduced, and the possibility and necessity of combining the gas-forecasting technologies and the high, new techniques of artificial intelligence are discussed. The paper brings forward several new methods and gives examples to demonstrate their applicability in the process of forecasting coal and gas outburst. Past work proves that the forecasting models founded and based on the gas-forecasting technology and artificial neural network can not only consider many affecting factors roundly and deal with all non-linear connections in geologic conditions preferably, but also have high precision and reliable conclusions, which offer new thought for the further developments of the gas-forecasting technologies.