SnnsRObject$predictCurrPatSet

SnnsR__predictCurrPatSet

predictCurrPatSet,SnnsR-method

is passed to <a rd-options="" href="/link/SnnsRObject%24whereAreResults?package=RSNNS&version=0.4-9" data-mini-rdoc="RSNNS::SnnsRObject$whereAreResults">SnnsRObject$whereAreResults</a>

outputMethod

parameters passed to the networks update function

updateFuncParams


SnnsR low-level function to predict values with a trained net.


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$predictCurrPatSet function

is passed to <a rd-options='' href='SnnsRObject$whereAreResults'>SnnsRObject$whereAreResults</a>

SnnsRObject$predictCurrPatSet: Predict values with a trained net

Description

Usage

Arguments

Value

Details