Prediction of Technical and Economic Norm of the Fully Mechanized Face Based on Neural Network
基于神经网络的综采工作面技术经济指标预测

comprehensive technical and economic norms, such as advance per day of mining face, production per day, productivity of mining face, consumption of pit prop and fittings, have been predicted by applying artificial neural network theory and self-learning based on neural network, on the basis of statistics and analysis of a large quantity of real material about fully mechanized face in Dongqu Colliery of Xishan Bureau of Coal Industry. Its accuracy is high and is fit to the fact. It provides a kind of new researching method for solving prediction and decision of plan, production and management of fully mechanized face in mine.