Elman神经网络在中厚板轧机宽展预测中的应用

Application of Elman neural network to width spread prediction in medium plate mill

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,提出了一种利用Elman神经网络建立中厚板轧机宽展预报模型的方法。通过实例比较了Elman模型与BP模型的预测效果。结果表明,所建立的Elman神经网络模型收敛速度和预测精度均高于BP网络模型。

Based on the fact that the Elm an model of neural network toolbox in MATLAB can approximate any nonlinear continuous function and reflect dynamic features of the system,a method to predict the width spread in the medium plate mill by the Elman neural network was presented. The predictions by the Elman neural network and those by the BP neural network were compared through examples. The results show that the Elman neural network converges more quickly, and its accuracy is higher than the BP neural network.