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针对传统煤矿电能消耗预测模型可靠性和精度低等问题,提出了一种基于灰色神经网络组合模型的煤矿能耗预测方法,该方法将灰色预测模型和BP神经网络有效组合,充分利用2个模型的优点。首先介绍了灰色预测模型和神经网络预测模型的基本原理;其次根据煤矿能耗预测的数据特性,将灰色预测和神经网络预测进行组合,得到一种灰色神经网路组合预测模型;最后,通过仿真验证了所提方法的可行性和有效性,为煤矿能耗预测提供了新的理论依据。
Aiming at the low reliability and low accuracy of traditional coal mine energy consumption prediction model, a coalmine energy consumption prediction method based on combination model of gray neural network is proposed. This method effectively combines gray prediction model and BP neural network to make full use of two models The advantages. First of all, the basic principles of gray prediction model and neural network prediction model are introduced. Secondly, based on the data characteristics of coal mine energy consumption prediction, gray prediction and neural network prediction are combined to get a combined forecasting model of gray neural network. Finally, The feasibility and validity of the proposed method are verified, which provides a new theoretical basis for coalmine energy consumption prediction.