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《Journal of Liaoning Technical University》 2004-01
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Application of improverd BP network in prediction of coal and gas outburst

HAO Ji-sheng (Department of Resource and Environment Engineering, Jiaozuo Institute of Technology, Jiaozuo 454159,China)  
With the powerful "information mapping" function and set-study capability, back propagation neural network (BP network for short) makes it possible to perceive, distinguish the correct response to any particular input pattern, which could be used to capture the interrelated pattern of the outburst-disaster with the outbursts-factors really and to learns the laws and characteristics (especially the hides) objectively . So it could be helpful to predict coal and gas outbursts. Three methods of momentum strategy, bold driver and improved cost function are used in practice to overcome of three shortcomings of the primary BP network: slow convergence, fault saturation, and oscillation problem. The above improved BP network was applied to Jiaozuo colliery for prediction of coal and gas outburst, and better results,were obtained.
【Fund】: 河南省自然科学基础研究基金资助(974071005);; 焦作工学院博士基金(49772130)
【CateGory Index】: TD712.5
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