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Weighted Best Local Approximation
(Global Science Press, 2016-04)
In this survey, the notion of a balanced best multipoint local approximation is fully exposed since they were treated in the Lp spaces and recent results in Orlicz spaces. The notion of balanced point, which was introduced ...
Comparative study between powers of sigmoid functions, MLP-backpropagation and polynomials in function approximation problems
(Spie - Int Soc Optical Engineering, 1999-01-01)
Function approximation is a very important task in environments where the computation has to be based on extracting information from data samples in real world processes. So, the development of new mathematical model is a ...
A radial basis function network (RBFN) for function approximation
(IEEE, 1999-01-01)
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 ...
Comparative study between powers of sigmoid functions, MLP-backpropagation and polynomials in function approximation problems
(Spie - Int Soc Optical Engineering, 2014)
Comparative study between powers of sigmoid functions, MLP-backpropagation and polynomials in function approximation problems
(Spie - Int Soc Optical Engineering, 2014)
Perturbaciones axiales de espacio-tiempos esféricamente simétricos
(2011)
Se estudian las perturbaciones lineales de las ecuaciones de Einstein alrededor de soluciones esféricamente simétricas. Se explica por qué no hay pérdida de generalidad al restringirse a perturbaciones axialmente simétricas. ...