A fully complex-valued radial basis function classifier for real-valued classification problems
In this paper, we investigate the decision making ability of a fully complex-valued radial basis function (FC-RBF) network in solving real-valued classification problems. The FC-RBF classifier is a single hidden layer fully complex-valued neural network with a nonlinear input layer, a nonlinear hidd...
| Main Authors: | , , , |
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| Outros autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado: |
2013
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| Subjects: | |
| Acceso en liña: | https://hdl.handle.net/10356/99595 http://hdl.handle.net/10220/13650 |