{"name":"training.report","title":"Neural network training report generator function.","pagetitle":"Neural network training report generator function. — training.report","aliases":"training.report","author":"\nManuel Castej<U+00F3>n Limas. \t manuel.castejon@gmail.com\nJoaquin Ordieres Mer<U+00E9>.\t j.ordieres@upm.es\nAna Gonz<U+00E1>lez Marcos. ana.gonzalez@unirioja.es \nAlpha V. Pern<U+00ED>a Espinoza. alpha.pernia@unirioja.es\nFrancisco Javier Martinez de Pis<U+00F3>n. fjmartin@unirioja.es\nFernando Alba El<U+00ED>as. fernando.alba@unavarra.es\n","keywords":"neural","description":"

Function in charge of reporting the behavior of the network training. The users should modify this function according to their needs.

","usage":"training.report(net,P,T, idx.show, error.criterium)","arguments":[{"name":"net","description":"

Neural Network to train.

"},{"name":"P","description":"

Training set input values.

"},{"name":"T","description":"

Training set output values

"},{"name":"idx.show","description":"

Current show index.

"},{"name":"error.criterium","description":"

Criterium used to measure the goodness of fit.

"}],"has_args":true,"sections":[],"value":"

This function does not return any value. Just useful for printing and plotting.

","references":"

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

","seealso":"

train

","package":{"package":"AMORE","version":"0.2-16"}}

Description

Usage

Arguments

Value

References

See Also