SnnsRObject$resetRSNNS

SnnsR__resetRSNNS

resetRSNNS,SnnsR-method


SnnsR low-level function to delete all pattern sets and 
delete the current net in the <code><a rd-options="" href="/link/SnnsR-class?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::SnnsR-class">SnnsR-class</a></code> object.


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$resetRSNNS function


SnnsR low-level function to delete all pattern sets and 
delete the current net in the <code><a rd-options='' href='SnnsR-class'>SnnsR-class</a></code> object.


SnnsRObject$resetRSNNS: Reset the SnnsR object.

Description

Usage

Arguments