A comparative analysis of linear regression, neural networks and random forest regression for predicting air ozone employing soft sensor models
Crossref DOI link: https://doi.org/10.1038/s41598-023-49899-0
Published Online: 2023-12-16
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhou, Zheng
Qiu, Cheng
Zhang, Yufan
Text and Data Mining valid from 2023-12-16
Version of Record valid from 2023-12-16
Article History
Received: 30 August 2023
Accepted: 13 December 2023
First Online: 16 December 2023
Competing interests
: The authors declare no competing interests.