AMORE: taofun – R documentation

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Documentation

AMORE

taofun

TAO robust error criterium auxiliar functions.

Description

Auxiliar functions. Not meant to be called from the user but from the error.TAO and the deltaE.TAO functions.

Usage

hfun(v,k)
phifun(v,k)
dphifun(v,k)

Arguments

`v`	Input value.
`k`	Threshold limit.

Value

These functions return a numeric array with dimension equal to the dimension of v.

Author(s)

Manuel Castejón Limas. manuel.castejon@gmail.com
Joaquin Ordieres Meré. j.ordieres@upm.es
Ana González Marcos. ana.gonzalez@unirioja.es
Alpha V. Pernía Espinoza. alpha.pernia@unirioja.es
Francisco Javier Martinez de Pisón. fjmartin@unirioja.es
Fernando Alba Elías. fernando.alba@unavarra.es

References

Pernía Espinoza, A.V., Ordieres Meré, J.B., Martínez de Pisón, F.J., González Marcos, A. TAO-robust backpropagation learning algorithm. Neural Networks. Vol. 18, Issue 2, pp. 191–204, 2005.

Simon Haykin. Neural Networks – a Comprehensive Foundation. Prentice Hall, New Jersey, 2nd edition, 1999. ISBN 0-13-273350-1.