应用人工神经元网络实现综采面设备选型

综采工作面产量、工效的预测，与采高、煤层倾角、煤层硬度、顶板类型、瓦斯、设备等因素有关，是一个复杂的非线性系统问题因而，用传统数学方法预测综采面产量往往误差较大运用人工神经元网络方法建立了综采面产量、工效预测模型，并实现了设备选型通过实例分析与实际情况对比，证明本模型有较高的实用价值

APPLICATION OF APTIFICIAL NEURAL NETWORK IN SELECTION OF EQUIPMENT OF A FULLY MECHANIZED FACE

Forecast of production and productivity of a fully mechanized face is a complicated nonlinear system, which involves such factors as mining height, seam inclination, seam hardness, type of roof, gas, equipment, etc. Forecast with traditional mathematic method always brings about errors. An artificial neural network model is established to predict face production, OMS and selection of equipment. Comparison of the calculted and actual data has proved that this method is of high practical value.