A radial basis function network (RBFN) for function approximation
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
20/05/2014
20/05/2014
01/01/1999
|
| Resumo |
A radial basis function network (RBFN) circuit for function approximation is presented. Simulation and experimental results show that the network has good approximation capabilities. The RBFN was a squared hyperbolic secant with three adjustable parameters amplitude, width and center. To test the network a sinusoidal and sine function,vas approximated. |
| Formato |
1099-1101 |
| Identificador |
http://dx.doi.org/10.1109/MWSCAS.1999.867828 42nd Midwest Symposium on Circuits and Systems, Proceedings, Vols 1 and 2. New York: IEEE, p. 1099-1101, 1999. http://hdl.handle.net/11449/130589 10.1109/MWSCAS.1999.867828 WOS:000089525800262 2-s2.0-0033292531 |
| Idioma(s) |
eng |
| Publicador |
IEEE |
| Relação |
42nd Midwest Symposium on Circuits and Systems, Proceedings, Vols 1 and 2 |
| Direitos |
closedAccess |
| Palavras-Chave | #Approximation theory #Bipolar transistors #Computer simulation #Electric network analysis #Function evaluation #Neural networks #Simulated annealing #Function approximation #Radial basis function network #Sinc function #Sinusoidal function #Integrated circuit testing |
| Tipo |
info:eu-repo/semantics/conferencePaper |
