predict.rsnns

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

object

the new input data which is used for prediction

newdata

additional function parameters (currently not used)


Predict values using the given network.


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)

predict.rsnns function

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

predict.rsnns: Generic predict function for rsnns object

Description

Usage

Arguments

Value