Prediction of Cr, Mn, and Ni in Medium and Low Alloy Steels by GA-BP Neural Network Combined with EDXRF Technology

Haisheng Song; Zhao Chen; Dacheng Xu; Rongwang Xu

doi:10.3788/LOP202259.1234001

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 12 >Page 1234001 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 12, 1234001 (2022)

Prediction of Cr, Mn, and Ni in Medium and Low Alloy Steels by GA-BP Neural Network Combined with EDXRF Technology

Haisheng Song¹, Zhao Chen^1、*, Dacheng Xu², and Rongwang Xu³

Author Affiliations

¹School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, Gansu , China

²School of Electronic Information, Soochow University, Suzhou 215031, Jiangsu , China

³Kunshan Soohow Instrument Technology Co., Ltd., Suzhou 215300, Jiangsu , China

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DOI: 10.3788/LOP202259.1234001 Cite this Article Set citation alerts

Haisheng Song, Zhao Chen, Dacheng Xu, Rongwang Xu. Prediction of Cr, Mn, and Ni in Medium and Low Alloy Steels by GA-BP Neural Network Combined with EDXRF Technology[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1234001 Copy Citation Text

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