基于Elman动态神经网络的煤质预测算法研究

摘要

选煤厂在配煤过程中需要对配煤得到的复煤品质进行准确地预测.基于配煤煤质与其组成单一煤种之间存在复杂的非线性关系,根据Elman神经网络模型能够逼近任意非线性函数的特点和具有反映系统动态特性的能力,采用Elman神经网络建立配煤煤质的预测模型.结果表明,该配煤煤质预测模型能够准确预测配煤煤质,在实际工作中具有一定参考价值和指导意义.%Preparation Plant in the blending process, the need for blending complex coal quality accurately predict. Based Coal Quality, the composition of complex nonlinear relationship between a single coal, according to the Elman neural network model can approximate any nonlinear function features and has the ability to reflect the dynamic characteristics of the system,using the Elman neural network to establish blending coal quality prediction model. The results show that the Coal Quality prediction model can accurately predict the Coal Quality,has a certain reference value and guiding significance in practical work.