Symbolic regression based hybrid semiparametric modelling of processes: An example case of a bending process

Hybrid semiparametric models integrate physics-based (“white-box”, parametric) and data-driven (“black-box”, non-parametric) submodels. Black-box models are often implemented using artificial neural networks (ANNs). In this work, we investigate the fitness of symbolic regression (SR) for black-box m...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mohammad Zhian Asadzadeh, Hans-Peter Gänser, Manfred Mücke
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/23e3f6d474f24dd5b62bafff29428b69
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!