SnnsRObject$createPatSet

SnnsR__createPatSet

createPatSet,SnnsR-method

SnnsR low-level function to create a pattern set in the SNNS kernel from 
the values given, so that they are available in the SNNS kernel for use.

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 using the Stuttgart Neural Network Simulator
(SNNS)

José M. Benítez

Andreas Zell

Niels Mache

Günter Mamier

Michael Vogt

Sven Döring

Ralf Hübner

Kai-Uwe Herrmann

Tobias Soyez

Michael Schmalzl

Tilman Sommer

Artemis Hatzigeorgiou

Dietmar Posselt

Tobias Schreiner

Bernward Kett

Martin Reczko

Martin Riedmiller

Mark Seemann

Marcus Ritt

Jamie DeCoster

Jochen Biedermann

Joachim Danz

Christian Wehrfritz

Patrick Kursawe

Andre El-Ama

SnnsRObject$createPatSet function

<dl><dt>inputs</dt>
<dd>the input values</dd>
<dt>targets</dt>
<dd>the target values</dd></dl>

Arguments

Create a pattern set — SnnsRObject$createPatSet

<dl>

<dt>inputs</dt>
<dd>the input values</dd>


<dt>targets</dt>
<dd>the target values</dd>

</dl>

Create a pattern set

SnnsRObject$createPatSet: Create a pattern set

Description

Usage

Value

Arguments