Modeling of the Rolling Force Based on Artificial Neural Networks

Zhao Lun; Wang Bangwen; Hai Sumei

doi:10.13374/j.issn1001-053x.1999.03.017

Volume 21 Issue 3

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 1999 > 21(3): 277-279

Zhao Lun, Wang Bangwen, Hai Sumei. Modeling of the Rolling Force Based on Artificial Neural Networks[J]. Chinese Journal of Engineering, 1999, 21(3): 277-279. doi: 10.13374/j.issn1001-053x.1999.03.017

Citation:

Zhao Lun, Wang Bangwen, Hai Sumei. Modeling of the Rolling Force Based on Artificial Neural Networks[J]. Chinese Journal of Engineering, 1999, 21(3): 277-279. doi: 10.13374/j.issn1001-053x.1999.03.017

Citation:

PDF( 343 KB)

Modeling of the Rolling Force Based on Artificial Neural Networks

doi: 10.13374/j.issn1001-053x.1999.03.017

1. Mechanical Engineering School, UST Beijing, Beijing 100083, China;
2. Beijing Mechanical School, Beijing 100045, China

Received Date: 1998-09-05
Available Online: 2021-08-27

Abstract

Abstract

Based on the principle of BP neural networks, the rolling force model is created after thoroughly analyzing and Processing the data of 400 nun mill. It states that the difference between the real value and the ours of the model is in order of 4 percent. The model on basis of BPNN is Practical and it reflects the real feature of the rolling process.
- system modeling,
- neural networks,
- rolling force model