Exploiting the functional training approach in B-Splines
When used for function approximation purposes, neural networks belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the training problem is formulated...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2129 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2129 |