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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 5 >Page 1595 > Article

Spectroscopy and Spectral Analysis
Vol. 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 FU^1、*, Jing LIU^{2、2; *;}, Ya-chun MAO^2、2;, Wang CAO^2、2;, Jia-qi HUANG^2、2;, and Zhan-guo ZHAO^3、3;

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

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 Copy Citation Text

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References

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

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

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