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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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| Materias: | |
| 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 |