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Application of Elman Neural Network to Width Spread Prediction in Medium Plate Mill

机译:Elman神经网络在中厚板轧机宽度扩展预测中的应用

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摘要

Based on the fact that the Elman model of neural network can well approach any nonlinear continuous function and has ability to reflect dynamic features of the systems, a method of width spread to medium plate mill prediction by Elman model was present. Through the width prediction by Elman model and BP model, the results show that the convergence and accuracy of prediction by the Elman model was higher than that by the BP network model.
机译:基于神经网络的ELMAN模型可以很好地接近任何非线性连续功能并且具有反射系统的动态特征的能力,存在一种宽度蔓延到埃尔曼模型的中板轧机预测的方法。通过Elman模型和BP模型的宽度预测,结果表明ELMAN模型预测的收敛性和准确性高于BP网络模型的收敛性和准确性。

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