Paper Title:
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.

  Info
Periodical
Chapter
III. Related Enlightening Topics
Edited by
Fei Hu and Beibei Wang
Pages
418-422
DOI
10.4028/www.scientific.net/AMR.279.418
Citation
D. D. Liu, "A Method about Load Distribution of Rolling Mills Based on RBF Neural Network", Advanced Materials Research, Vol. 279, pp. 418-422, 2011
Online since
July 2011
Authors
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Price
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