A radial basis function network (RBFN) for function approximation
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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.
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Lucks, M. B. ; Oki, N. (Midwest Symposium on Circuits and Systems, 1999) [Trabalho apresentado em evento]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 ...
Baricz, ï¿½rpï¿½d; Dimitrov, Dimitar K. ; Orhan, Halit; Yağmur, Nihat (Proceedings of the American Mathematical Society, 2016) [Artigo]Geometric properties of the classical Lommel and Struve functions, both of the first kind, are studied. For each of them, three different normalizations are applied in such a way that the resulting functions are analytic ...
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows Santos, D. J A ; Peixoto, M. G C D; Aspilcueta Borquis, R. R. ; Verneque, R. S.; Panetto, J. C C; Tonhati, Humberto (Genetics and Molecular Research, 2013) [Artigo]Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...