{"name":"sim.MLPnet","title":"Performs the simulation of a neural network from an input data set.","pagetitle":"Performs the simulation of a neural network from an input data set. — sim.MLPnet","aliases":["sim","sim.MLPnet"],"author":"\nManuel Castej<U+00F3>n Limas. \t manuel.castejon@gmail.com\nJoaquin Ordieres Mer<U+00E9> 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":"

This function calculates the output values of the neural network for a given data set. Various versions are provided according to different degrees of C code conversion. The sim.MLPnet function is the latest and quickest.

","usage":"sim(net,P,...)\n#sim.MLPnet(net,P,...)","arguments":[{"name":"...","description":"

Currently, the parameters below are accepted.

"},{"name":"net","description":"

Neural Network to simulate.

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

Data Set input values.

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

This function returns a matrix containing the output values of the neural network for the given data set.

","references":"

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

","seealso":"

newff,train

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

Description

Usage

Arguments

Value

References

See Also