Model of Aluminium Foil Rolling Force Based on Neural Networks

Wang Bangwen; Yang Guang; Xu Feng; LI Mouwei; LIU Shengming; WANG Guoping

Volume 4 Issue 2

Jun. 1997

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 1997 > 4(2): 50-50

Wang Bangwen, Yang Guang, Xu Feng, LI Mouwei, LIU Shengming, and WANG Guoping, Model of Aluminium Foil Rolling Force Based on Neural Networks, J. Univ. Sci. Technol. Beijing, 4(1997), No. 2, pp. 50-50.

Cite this article as:

Wang Bangwen, Yang Guang, Xu Feng, LI Mouwei, LIU Shengming, and WANG Guoping, Model of Aluminium Foil Rolling Force Based on Neural Networks, J. Univ. Sci. Technol. Beijing, 4(1997), No. 2, pp. 50-50.

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Model of Aluminium Foil Rolling Force Based on Neural Networks

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Abstract

Abstract

Based on the principle of BP neural networks, the rolling force model is established after thoroughly analyzing and reprocessing the data of 1 350 mm aluminium foil mill. It states that the difference between the output of artificial neural networks rolling force model and the real value is in the order of 3 percent. The model reflects the real feature of process.
- neural networks;
- aluminium foil;
- rolling force model