Application of BP-GA Algorithm in Optimization of Process Parameters in Thin Strip Tandem Cold Rolling

Li Chen Wang; Ji Shun Song; Jian Zhang; Pan Li

doi:10.4028/www.scientific.net/AMR.774-776.1042

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 774-776Application of BP-GA Algorithm in Optimization of...

Application of BP-GA Algorithm in Optimization of Process Parameters in Thin Strip Tandem Cold Rolling

Abstract:

The process parameters of thin strip tandem cold rolling were optimized based on the BP neural network and the genetic algorithm with which the rolling energy consumption required was reduced and could contribute to the rolling force and the thickness control.

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Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1042-1045

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.774-776.1042

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Online since:

September 2013

Authors:

Li Chen Wang, Ji Shun Song, Jian Zhang, Pan Li

Keywords:

BP Neural Network (BPNN), Genetic Algorithm (GA), Optimization, Process Parameter, Thin Strip Tandem Cold Rolling

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References

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