Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network

Yan-hua FU; Jing LIU; Ya-chun MAO; Wang CAO; Jia-qi HUANG; Zhan-guo ZHAO

doi:10.3964/j.issn.1000-0593(2022)05-1595-06

Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1595(2022)

Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network

Yan-hua FU1,*... Jing LIU2,2; *;, Ya-chun MAO2,2;, Wang CAO2,2;, Jia-qi HUANG2,2; and Zhan-guo ZHAO3,3; |Show fewer author(s)

Author Affiliations

¹1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China

²2. School of Architecture, Northeastern University, Shenyang 110819, China

³3. China Gold Group, Beijing 100000, China

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References(2)

[8] Lihua Chen, Weibo Ma, Kun Tan et al. Journal of Hazardous Materials, 401, 123288(2021).

[9] Wang Cao, Jing Liu, Yachun Mao et al. Infrared Physics and Technology, 112, 103602(2021).

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Yan-hua FU, Jing LIU, Ya-chun MAO, Wang CAO, Jia-qi HUANG, Zhan-guo ZHAO. Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1595

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Paper Information

Category: Research Articles

Received: Mar. 23, 2021

Accepted: --

Published Online: Nov. 10, 2022

The Author Email: FU Yan-hua (fuyanhua@mail.neu.edu.cn)

DOI:10.3964/j.issn.1000-0593(2022)05-1595-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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