Crossmark

A new method for building single feedforward neural network models for multivariate static regression problems: a combined weight initialization and constructive algorithm

Crossref DOI link: https://doi.org/10.1007/s12065-022-00813-z

Published Online: 2022-12-26

Published Print: 2024-04

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

Authors

de Sá, Ghabriel A. Gomes

Fontes, Cristiano Hora https://orcid.org/0000-0001-8020-6815
Embiruçu, Marcelo
License Information

Text and Data Mining valid from 2022-12-26

Version of Record valid from 2022-12-26
More Information

Article History

Received: 31 May 2022

Revised: 2 November 2022

Accepted: 22 November 2022

First Online: 26 December 2022

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Document is current

Any future updates will be listed below