基于Elman网络的动力配煤煤质预测模型的研究

The Predicting Models of the Steam Coal Quality Base on Elman Networks

动力配煤的多种煤质指标与各组分单一煤种的煤质指标之间具有典型的非线性映射特征。Elman回归神经网络是一种典型的动态神经元网络,具有映射动态特征的功能,尤其具有高度的非线性映射能力。笔者利用Elman网络建立了动力配煤煤质预测模型,并以较好的预测效果实现了动力配煤煤质预测,从而证实了该方案的可行性。

In this paper , the predicting models of the steam coal quality base on Elman networks for the nonlinear information control system of steam coal blending is presented.Elman network uses internal state feedback to describe the nonlinear dynamic rules of system and especially is of nonlinear .The predicting models of the steam coal quality work well,and the simulations prove the effectiveness of this scheme.