savePatFile

inputs

targets

filename


This function generates an <a rd-options="" href="/link/SnnsR-class?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::SnnsR-class">SnnsR-class</a> object, loads the given data there 
as a pattern set and then uses the functionality of SNNS to save the data as a .pat file.


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)

savePatFile function


This function generates an <a rd-options='' href='SnnsR-class'>SnnsR-class</a> object, loads the given data there 
as a pattern set and then uses the functionality of SNNS to save the data as a .pat file.


savePatFile: Save data to a pat file

Description

Usage

Arguments