应用人工神经网络方法，以３０个工作面的实际资料为样本，建立了面向回采工作面的人工神经网络模型，用来选择工作面的回采工艺方式，预测其单产和工效。结果表明，该模型可靠、实用，具有很强的自学习、非线性动态处理的能力 Using artificial neural network method and 30 actual working data as samples, an artificial neural network model for mining working face was set up to select the working process of mining face and forecast its yield and work efficiency. The results show that the model is reliable, practical and has strong ability of self-learning and nonlinear dynamic processing