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                                       Details for article 22 of 27 found articles
 
 
  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
 
 
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
Author: Divasón, Jose
Ceniceros, Julio Fernandez
Sanz-Garcia, Andres
Pernia-Espinoza, Alpha
Martinez-de-Pison, Francisco Javier
Appeared in: Neurocomputing
Paging: Volume 548 () nr. C pages p.
Year: 2023
Contents:
Publisher: The Author(s)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 22 of 27 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands