A Method about Load Distribution of Rolling Mills Based on RBF Neural Network

Dong Dong Liu

doi:10.4028/www.scientific.net/AMR.279.418

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 279A Method about Load Distribution of Rolling Mills...

A Method about Load Distribution of Rolling Mills Based on RBF Neural Network

Abstract:

Rolling mills process is too complicated to be described by formulas. RBF neural networks can establish finishing thickness and rolling force models. Traditional models are still useful to the neural network output. Compared with those finishing models which have or do not have traditional models as input, the importance of traditional models in application of neural networks is obvious. For improving the predictive precision, BP and RBF neural networks are established, and the result indicates that the model of load distribution based on RBF neural network is more accurate.

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Periodical:

Advanced Materials Research (Volume 279)

Pages:

418-422

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.279.418

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Online since:

July 2011

Authors:

Dong Dong Liu

Keywords:

Hot Strip Mill, Load Distribution, Prediction of Rolling Force, Prediction of Thickness, RBF Neural Network

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References

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