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"PSO-PARSIMONY: A method for finding parsimonious and accurate machine ..."

Jose Divasón et al. (2023)

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DOI: 10.1016/J.NEUCOM.2023.126414

access: open

type: Journal Article

metadata version: 2024-02-05

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  - journals/ijon/DivasonFSPP23
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  - https://dblp.org/rec/journals/ijon/DivasonFSPP23
Jose Divasón, Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón:
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. Neurocomputing 548: 126414 (2023)

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