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1 Ergebnisse
1
PSO-PARSIMONY: A method for finding parsimonious and accura..:
Divasón, Jose
;
Ceniceros, Julio Fernandez
;
Sanz-Garcia, Andres
..
info:eu-repo/semantics/altIdentifier/doi/10.1016/J.NEUCOM.2023.126414. , 2023
Link:
https://investigacion.unirioja.es/documentos/64995b367..
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=base-ftunivriojair:oai:portal.dialnet.es:doc_64995b3671c692789f1df3d0&Exemplar=1&LAN=DE A1 Divasón, Jose A1 Ceniceros, Julio Fernandez A1 Sanz-Garcia, Andres A1 Pernia-Espinoza, Alpha A1 Martinez-de-Pison, Francisco Javier PB Elsevier B.V. YR 2023 K1 Auto machine learning K1 GA-PARSIMONY K1 Parsimonious modeling K1 PSO-PARSIMONY K1 t-stub connections JF info:eu-repo/semantics/altIdentifier/doi/10.1016/J.NEUCOM.2023.126414 LK http://dx.doi.org/https://investigacion.unirioja.es/documentos/64995b3671c692789f1df3d0 DO https://investigacion.unirioja.es/documentos/64995b3671c692789f1df3d0 SF ELIB - SuUB Bremen
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