plot_example

This function is useful to see how the forecast has been computed. An ordinal
specifying the order of the weight has to be supplied and the function plots
the training pattern associated with that ordinal.

A general regression neural network (GRNN) is a variant of a
Radial Basis Function Network characterized by a fast single-pass learning.
'tsfgrnn' allows you to forecast time series using a GRNN model Francisco
Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco
Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting
horizon is higher than 1, two multi-step ahead forecasting strategies can be used.
The model built is autoregressive, that is, it is only based on the
observations of the time series. You can consult and plot how the
prediction was done. It is also possible to assess the forecasting accuracy
of the model using rolling origin evaluation.

Francisco Martinez

tsfgrnn

Time Series Forecasting Using GRNN

Maria Pilar Frias-Bustamante

Ana Maria Martinez-Rodriguez

Antonio Conde-Sanchez

plot_example function

<dl><dt>forecast</dt>
<dd>The grnnForecast object.</dd>
<dt>position</dt>
<dd>An integer. It is an ordinal number indicating what training
pattern to plot. For instance, if <code>position</code> is 1 it means that the
training pattern with the greatest weight should be plotted. If
<code>position</code> is 2 the training pattern with the second greatest weight
is plotted and so on.</dd>
<dt>h</dt>
<dd>An integer. This value is only useful when the recursive strategy is
being used. It indicates the forecasting horizon</dd></dl>

Arguments

Plot an example used in a prediction of a grnnForecast object — plot_example

<dl>

<dt>forecast</dt>
<dd>The grnnForecast object.</dd>


<dt>position</dt>
<dd>An integer. It is an ordinal number indicating what training
pattern to plot. For instance, if <code>position</code> is 1 it means that the
training pattern with the greatest weight should be plotted. If
<code>position</code> is 2 the training pattern with the second greatest weight
is plotted and so on.</dd>


<dt>h</dt>
<dd>An integer. This value is only useful when the recursive strategy is
being used. It indicates the forecasting horizon</dd>

</dl>

plot_example: Plot an example used in a prediction of a grnnForecast object

Description

Usage

Value

Arguments

Examples