基于灰色-神经网络组合模型的瓦斯涌出量预测

针对煤矿瓦斯涌出量,建立了以预测方法有效度为优化指标的求解组合预测权重系数的优化模型,并对灰色—神经网络组合预测模型采用简化方法求解。预测结果表明:该模型比使用灰色和神经网络预测模型能获得更高的精度,可用于矿井瓦斯涌出量的预测。

Forecast of Gas Emission Based on Grey-Neural Network Combined Model

For coal mine gas emission,based on the optimization criterion(effective measure of forecasting methods)and weight coefficient of combined foercasting,a optimization model was established. And the grey-neural network combined forecasting model was solved simplifily. Predicting results of the model are more accurate and reliable than gery model and neural network model,so the combined model can be applied to predict the outflow of mine methane.