SnnsRObject$extractNetInfo

SnnsR__extractNetInfo

extractNetInfo,SnnsR-method


The returned list has three members: 
<ul>
<li> infoHeader general information about the network
</li>
<li> unitDefinitions information about the units
</li>
<li> fullWeightMatrix weight matrix of the connections
</li>
</ul><p></p><p></p>

The Stuttgart Neural Network Simulator (SNNS) is a library
containing many standard implementations of neural networks. This
package wraps the SNNS functionality to make it available from
within R. Using the 'RSNNS' low-level interface, all of the
algorithmic functionality and flexibility of SNNS can be accessed.
Furthermore, the package contains a convenient high-level
interface, so that the most common neural network topologies and
learning algorithms integrate seamlessly into R.

Christoph Bergmeir

RSNNS

Neural Networks in R using the Stuttgart Neural Network
Simulator (SNNS)

SnnsRObject$extractNetInfo function


The returned list has three members: 
<ul>
<li> infoHeader general information about the network
</li>
<li> unitDefinitions information about the units
</li>
<li> fullWeightMatrix weight matrix of the connections
</li>
</ul>



SnnsRObject$extractNetInfo: Get characteristics of the network.

Description

Usage

Arguments

Value