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Probability Density Estimation Using Adaptive Activation Function Neurons

Tipo de material: TextoTextoSeries ; Neural Processing Letters, 13(1), p.31, 2001Trabajos contenidos:
  • Fiori, S
  • Bucciarelli, P
Tema(s): Recursos en línea: Resumen: In this paper we deal with the problem of approximating the probability density function of a signal by means of adaptive activation function neurons.We compare the proposed approach to the one based on a mixture of kernels and show through computer simulations that comparable results may be obtained with limited expense in computational efforts.
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Documentos solicitados Documentos solicitados CICY Documento préstamo interbibliotecario Ref1 B-13213 (Browse shelf(Opens below)) Available

In this paper we deal with the problem of approximating the probability density function of a signal by means of adaptive activation function neurons.We compare the proposed approach to the one based on a mixture of kernels and show through computer simulations that comparable results may be obtained with limited expense in computational efforts.

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