基于遗传算法-BP神经网络的突出强度预测

oal and gas intensity forecasting of coal and gas is, to ensure that mine safety normal production had important implications, this article proposes using genetic algorithms and BP neural network models to predict the outburst, the use of genetic algorithm on BP neural network‘s weights and thresholds, will optimize better weight and threshold on a network for training until performance functions to meet the requirements. The actual calculation means that this model has the better forecast accuracy, and to overcome the General BP neural network training is long, the shortcomings of the slow convergence, in known gas expansion and seam thickness on the premise that you can use this model to make predictions on the outburst.