RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets

The definition of an appropriate number of Radial Basis Functions and their parameters in Radial Basis Function networks is a non-trivial task. The fitting of its parameters has direct implications on model performance and generalization. Techniques such as cross-validation associated with error met...

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Veröffentlicht in:	Neural processing letters 2023-08, Vol.55 (4), p.4719-4733
Hauptverfasser:	Queiroz, Marcelo, Coelho, Frederico, Torres, Luiz C. B., Campos, Felipe V., Lara, Gabriel, Alvarenga, Wagner, Braga, Antônio de Pádua
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Clustering Complex Systems Computational Intelligence Computer Science Datasets Euclidean space Heuristic methods Iterative methods Methods Neural networks Parameter estimation Polygons Radial basis function
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