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 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

show less

Abstract Get PDF(in Chinese)

References(2)

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

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

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Research Articles

Received: Mar. 23, 2021

Accepted: --

Published Online: Nov. 10, 2022

The Author Email: Yan-hua FU (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