A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification

This paper introduces a comparison of training algorithms of radial basis function (RBF) neural networks for classification purposes. RBF networks provide effective solutions in many science and engineering fields. They are especially popular in the pattern classification and signal processing areas...

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Detalles Bibliográficos
Autores principales: Kurban, Tuba, Beşdok, Erkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312446/
https://www.ncbi.nlm.nih.gov/pubmed/22454587
http://dx.doi.org/10.3390/s90806312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3312446/
https://www.ncbi.nlm.nih.gov/pubmed/22454587
http://dx.doi.org/10.3390/s90806312

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