应用人工神经网络理论预测综采工作面技术经济指标

APPLIED ATIFICAL NEURAL NETWORK THEORY TO FORECAST ECONOMIC AND TECHNICAL INDEX OF FULLY MECHANIZED COAL MINING FACE

应用人工神经元网络理论，在对大同矿区的综采工作面的实际资料进行分析的基础上，建立了综采工作面技术经济指标神经网络预测模型，就综采工作面的月产量、月进度、回采工作面效率、期末人数４ 项综合技术经济指标进行了预测。

On the basis of actual data of fully mechanized coal mining face in Datong coal mining area,established atifical neural network model for forecasting the economic and technical index.In fact,the model fouction is exactly accuracy.The predictive results,such as monthly progress,output and capacity index etc,quite agree with the actual condition of fully mechanized coal mining face.