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 -