ANN-class

show,ANN-method

This Class represents an Artificial Neural Network model object and hosts
all the information related to the model.

User-friendly framework that enables the training and the
evaluation of species distribution models (SDMs). The package implements
functions for data driven variable selection and model tuning and includes
numerous utilities to display the results. All the functions used to select
variables or to tune model hyperparameters have an interactive real-time
chart displayed in the 'RStudio' viewer pane during their execution.

Sergio Vignali

SDMtune

Species Distribution Model Selection

Arnaud Barras

Veronika Braunisch

Conservation Biology - University of Bern 

ANN-class function

<dl><dt>object</dt>
<dd>ANN object</dd></dl>

Arguments

<dl>
<dt><code>size</code></dt>
<dd>integer. Number of the units in the hidden layer.</dd></dl>
<dt><code>decay</code></dt>
<dd>numeric. Weight decay.</dd>
<dt><code>rang</code></dt>
<dd>numeric. Initial random weights.</dd>
<dt><code>maxit</code></dt>
<dd>integer. Maximum number of iterations.</dd>
<dt><code>model</code></dt>
<dd><a href="/link/nnet?package=SDMtune&version=1.3.2" data-mini-rdoc="SDMtune::nnet">nnet</a>. The nnet model object.</dd>

Slots

Author

Artificial Neural Network — ANN-class

<dl>

<dt>object</dt>
<dd>ANN object</dd>

</dl>

<dl>
<dt><code>size</code></dt>
<dd>integer. Number of the units in the hidden layer.</dd>


<dt><code>decay</code></dt>
<dd>numeric. Weight decay.</dd>


<dt><code>rang</code></dt>
<dd>numeric. Initial random weights.</dd>


<dt><code>maxit</code></dt>
<dd>integer. Maximum number of iterations.</dd>


<dt><code>model</code></dt>
<dd><a href='https://rdrr.io/pkg/nnet/man/nnet.html'>nnet</a>. The nnet model object.</dd>


</dl>

ANN-class: Artificial Neural Network

Description

Usage

Arguments

Slots

Author

Details