PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections.
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%0 Journal Article
%1 journals/ijon/DivasonFSPP23
%A Divasón, Jose
%A Fernández-Ceniceros, Julio
%A Sanz-García, Andrés
%A Pernía-Espinoza, Alpha V.
%A de Pisón, Francisco Javier Martínez
%D 2023
%J Neurocomputing
%K dblp
%P 126414
%T PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections.
%U http://dblp.uni-trier.de/db/journals/ijon/ijon548.html#DivasonFSPP23
%V 548
@article{journals/ijon/DivasonFSPP23,
added-at = {2024-02-05T00:00:00.000+0100},
author = {Divasón, Jose and Fernández-Ceniceros, Julio and Sanz-García, Andrés and Pernía-Espinoza, Alpha V. and de Pisón, Francisco Javier Martínez},
biburl = {https://www.bibsonomy.org/bibtex/20a8edfe4448bb665d66b8a5907cc4b9c/dblp},
ee = {https://doi.org/10.1016/j.neucom.2023.126414},
interhash = {ed6ddd379b2840cd6901eacc75c9a831},
intrahash = {0a8edfe4448bb665d66b8a5907cc4b9c},
journal = {Neurocomputing},
keywords = {dblp},
pages = 126414,
timestamp = {2024-04-08T19:51:08.000+0200},
title = {PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections.},
url = {http://dblp.uni-trier.de/db/journals/ijon/ijon548.html#DivasonFSPP23},
volume = 548,
year = 2023
}
