基于灰色BP神经网络模型的煤矿地下水位预测研究

摘要

In order to resolve the problem of the low accuracy of monitoring underground water level of coal mine,a novel model for prediction of the underground water level of the coal mine based on the grey BP neural network is proposed in this paper.By utilizing the methods of the gray theory,BP neural network and grey BP neural network model respectively,we obtain a set of observation data from the given well to forecast the groundwater level.The experiment results show that the proposed model is of more accurate compared with the other ones.%针对煤矿地下水位监测精度不高的问题,提出灰色BP神经网络预测煤矿地下水位的模型.分别利用灰色预测理论、BP神经网络模型和灰色BP神经网络对某煤矿一观测井地下水位进行预测,仿真数据表明采用灰色BP神经网络模型预测煤矿地下水位更为准确.