print.rsnns

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

additional function parameters (currently not used)


Print out some characteristics of an <code><a rd-options="" href="/link/rsnns?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::rsnns">rsnns</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)

print.rsnns function

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


Print out some characteristics of an <code><a rd-options='' href='rsnns'>rsnns</a></code> object.


print.rsnns: Generic print function for rsnns objects

Description

Usage

Arguments