综放工作面为复杂的非线性系统 ,其设备与放煤工艺参数的选择和技术经济指标的预测 ,是复杂的非线性问题 ,用传统的数学方法难于解决 .应用神经网络方法建立了综放工作面产量、工效及采出率的预测模型 ,并实现了采煤机、液压支架选型和放煤方式、放煤步距的优化 .实际应用结果表明 ,模型的可靠性及精度高 ,有较大的实用价值 The fully mechanized top coal caving face is a complex nonlinear system. The selection of equipment and caving technology parameters and the prediction of technical and economic indexes are complex nonlinear problems, which are difficult to be solved by traditional mathematical methods. The application of neural network The working face yield, the efficiency of work and the recovery rate of the prediction model, and the realization of the shearer, hydraulic support selection and caving method, optimization of caving steps.Practical application results show that the model has high reliability and accuracy, with Larger practical value