灰色系统理论与GA-BP网络模型在导高控制和预测中的应用

Application of Grey System Theory and GA-BP Neural Network Model in Control and Prediction of Water-flowing Fractured Zone′s Height

利用灰色系统理论对各主要地质采矿因素与导水裂隙带发育高度关联度计算排序,得到影响因素的主次顺序,分别建立了BP神经网络和基于遗传算法优化的BP神经网络预测模型,将2种模型预测结果与实测结果对比分析。

Used the theory of grey system to calculate the correlation between the geological and mining factors and water fractured zone＇s height on the basis of a large number of practical engineering data, then got the influence factors order. Established the BP neural network and GA-BP neural network prediction model, and contrasted the two prediction results with measured results.