Model of Aluminium Foil Rolling Force Based on Neural Networks

Wang Bangwen; Yang Guang; Xu Feng; Li Mouwei; Liu Shengming; Wang Guoping

doi:10.13374/j.issn1001-053x.1997.02.012

Wang Bangwen, Yang Guang, Xu Feng, Li Mouwei, Liu Shengming, Wang Guoping. Model of Aluminium Foil Rolling Force Based on Neural Networks[J]. Chinese Journal of Engineering, 1997, 19(2): 173-177. DOI: 10.13374/j.issn1001-053x.1997.02.012

Citation:

Wang Bangwen, Yang Guang, Xu Feng, Li Mouwei, Liu Shengming, Wang Guoping. Model of Aluminium Foil Rolling Force Based on Neural Networks[J]. Chinese Journal of Engineering, 1997, 19(2): 173-177. DOI: 10.13374/j.issn1001-053x.1997.02.012

Citation:

Wang Bangwen, Yang Guang, Xu Feng, Li Mouwei, Liu Shengming, Wang Guoping. Model of Aluminium Foil Rolling Force Based on Neural Networks[J]. Chinese Journal of Engineering, 1997, 19(2): 173-177. DOI: 10.13374/j.issn1001-053x.1997.02.012

Model of Aluminium Foil Rolling Force Based on Neural Networks

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Based on the principle of BP neural networks, the rolling force model is established after thoroughly analyzing and reprocessing the data of 1350 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.

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Model of Aluminium Foil Rolling Force Based on Neural Networks

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