Genetic Algorithm Optimized BP Neural Network for Quantitative Analysis of Soil Heavy Metals in XRF

CHENG Hui-zhu; YANG Wan-qi; LI Fu-sheng; MA Qian; ZHAO Yan-chun

doi:10.3964/j.issn.1000-0593(2023)12-3742-05

Spectroscopy and Spectral Analysis, Volume. 43, Issue 12, 3742(2023)

Genetic Algorithm Optimized BP Neural Network for Quantitative Analysis of Soil Heavy Metals in XRF

CHENG Hui-zhu, YANG Wan-qi, LI Fu-sheng, MA Qian, and ZHAO Yan-chun

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References(6)

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[3] [3] Khan S, Naushad M, Lima E C, et al. Journal of Hazardous Materials, 2021, 417: 126039.

[7] [7] Gardner R P, Li F S. X-Ray Spectrometry, 2011, 40(6): 405.

[8] [8] Li F S, Yang W Q, Ma Q, et al. Measurement Science & Technology, 2021, 32(10): 105501.

[14] [14] Li Hongdong, Liang Yizeng, Xu Qingsong, et al. Analytica Chimica Acta, 2009, 648(1), 77.

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CHENG Hui-zhu, YANG Wan-qi, LI Fu-sheng, MA Qian, ZHAO Yan-chun. Genetic Algorithm Optimized BP Neural Network for Quantitative Analysis of Soil Heavy Metals in XRF[J]. Spectroscopy and Spectral Analysis, 2023, 43(12): 3742

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Paper Information

Received: Apr. 23, 2022

Accepted: --

Published Online: Jan. 11, 2024

The Author Email:

DOI:10.3964/j.issn.1000-0593(2023)12-3742-05

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology