Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy: erratum-Reference-Cited by-同舟云学术

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Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy: erratum

Published:2023-08-02 Issue:23 Volume:62 Page:6169
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Liu Huan¹²³^ORCID,Zhu Jun⁴,Yin Huan⁴,Yan Qiangqiang¹²,Liu Hong¹²,Guan Shouxin¹²³,Cai Qisheng⁵,Sun Jiawen⁶,Yao Shun⁴,Wei Ruyi¹²³⁷

Affiliation:

1. CAS Key Laboratory of Spectral Imaging Technology

2. Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences

3. University of Chinese Academy of Sciences

4. DFH Satellite Co., Ltd., Optica

5. Chinese Academy of Sciences

6. Qingdao Guoke Hongcheng Optoelectronic Technology Co., Ltd.

7. Wuhan University

Abstract

This erratum reports corrections for the original publication, Appl. Opt. 61, 2834 (2022)APOPAI0003-6935

10.1364/AO.450805

Funder

National Natural Science Foundation of China

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference1 articles.

1. Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantitative analysis of spectral data based on stochastic configuration networks;Analytical Methods;2024

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