kdfilter: Filter function

In jpison/KDSeries: Knowdledge Discovery in Time Series package

Description

Function to make different window filters (mean, median, max, min, gauss, rect).

Usage

train(net,P,T,n.epochs,g=adapt.NeuralNet, error.criterium="MSE", Stao=NA, report=TRUE, show.step)

Arguments

net	Neural Network to train.
P	Training set input values.
T	Training set output values
n.epochs	Number of epochs to train.
g	Adaptative function used for training. The default provides a quicker C code version of the adaptative backpropagation with momentum method.
error.criterium	Criterium used to measure the goodness of fit.
Stao	Initial value of the S parameter used by the TAO algorithm.
report	Logical value indicating whether the training function should keep quiet or should provide graphical/written information during the training process instead.
show.step	If report is TRUE then a report is provided every show.step epochs.

Value

This function returns a trained Neural Network object with weights and biases adjusted by the adaptative backpropagation with momentum method. The whole training set is considered.

Author(s)

Francisco Javier Martinez de Pisón.
[e-mail]

Miguel Lodosa Ayala.
[e-mail]

References

Pernia Espinoza, A.V. "TAO"

Simon Haykin. Neural Networks. A comprehensive foundation. 2nd Edition.

jpison/KDSeries documentation built on May 10, 2019, 12:09 a.m.