exportToSnnsNetFile

the <code><a rd-options="" href="/link/rsnns?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::rsnns">rsnns</a></code> object

object

filename

name that is given to the network in the file

netname


Export the net that is present in the <code><a rd-options="" href="/link/rsnns?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::rsnns">rsnns</a></code> object in the 
original (.net) SNNS file format.


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)

exportToSnnsNetFile function

the <code><a rd-options='' href='rsnns'>rsnns</a></code> object


Export the net that is present in the <code><a rd-options='' href='rsnns'>rsnns</a></code> object in the 
original (.net) SNNS file format.


exportToSnnsNetFile: Export the net to a file in the original SNNS file format

Description

Usage

Arguments