Classification of High Quality Carbon Steel Based on BP Neural Network

Lan Lan Liu; Tao Hong Zhang; Yong Hong Xie; Li Li; De Zheng Zhang; Aziguli Wulamu

doi:10.4028/www.scientific.net/AMR.873.54

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 873Classification of High Quality Carbon Steel Based...

Classification of High Quality Carbon Steel Based on BP Neural Network

Abstract:

Now carbon steel is used in the engineering aspects and it is the oldest and the largest amount of basic materials. How to determine whether they are high-quality carbon steel In this paper the standard data of high quality carbon steel by using the classical BP neural network algorithm is researched. Then it is simulated and predicted. The final comprehensive evaluation and analysis show that the neural network model can be used to decide whether it is a high quality carbon steel. Further, it has a good practical application value for utilizing high-quality carbon steel rationally.

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The Eighth China National Conference on Functional Materials and Applications

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Periodical:

Advanced Materials Research (Volume 873)

Pages:

54-59

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.873.54

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Online since:

December 2013

Authors:

Lan Lan Liu*, Tao Hong Zhang, Yong Hong Xie, Li Li, De Zheng Zhang, Aziguli Wulamu

Keywords:

Data Process, High Quality Carbon Steel, Neural Network (NN), Simulation

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* - Corresponding Author

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