sim.MLPnet: Performs the simulation of a neural network from an input...

In AMORE: Artificial Neural Network Training and Simulating

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,...)
#sim.MLPnet(net,P,...)

Arguments

...	Currently, the parameters below are accepted.
net	Neural Network to simulate.
P	Data Set input values.

Value

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

Author(s)

Manuel Castejón Limas. [e-mail]
Joaquin Ordieres Meré [e-mail]
Ana González Marcos. [e-mail]
Alpha V. Pernía Espinoza. [e-mail]
Francisco Javier Martinez de Pisón [e-mail]
Fernando Alba Elías. [e-mail]

References

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

See Also

newff,train

AMORE documentation built on Feb. 12, 2020, 9:07 a.m.