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Learning framework for carbon emissions predictions incorporating a RReliefF driven features selection and an iterative neural network architecture improvement

Crossref DOI link: https://doi.org/10.1007/s42452-021-04411-z

Published Online: 2021-03-16

Published Print: 2021-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Crespo, Antonio Marcio Ferreira https://orcid.org/0000-0003-3960-0858
Wang, Chun

Crespo, Thiago Marques Ferreira

Weigang, Li

Barreto, Alexandre
License Information

Text and Data Mining valid from 2021-03-16

Version of Record valid from 2021-03-16
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Article History

Received: 4 November 2020

Accepted: 22 February 2021

First Online: 16 March 2021

Compliance with ethical standards

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: The author(s) declare that they have no conflict of interest.

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