TY  - JOUR 
AU  - Divasón, Jose
AU  - Ceniceros, Julio Fernandez
AU  - Sanz García, Andrés
AU  - Pernía-Espinoza, Alpha
AU  - Martinez-de-Pison, Francisco Javier
PY  - 2023
SN  - 0925-2312
UR  - http://hdl.handle.net/10366/157803
AB  - [EN]We present PSO-PARSIMONY, a new methodology to search for parsimonious and highly accurate models by means of particle swarm optimization. PSO-PARSIMONY uses automatic hyperparameter optimization and feature selection to search for accurate models...
LA  - eng
PB  - Elsevier
KW  - PSO-PARSIMONY
KW  - t-stub connections
KW  - Parsimonious modeling
KW  - Auto machine learning
KW  - GA-PARSIMONY
TI  - 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.
T2  - Neurocomputing
VL  - 548
M2  - 126414
ER  -