SnnsRObject$somPredictCurrPatSetWinners

SnnsR__somPredictCurrPatSetWinners

somPredictCurrPatSetWinners,SnnsR-method

parameters passed to the networks update function

updateFuncParams

should a list with the winners for every pattern be saved?

saveWinnersPerPattern

targets


SnnsR low-level function to get most of the relevant results from a SOM.


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.

SnnsRObject$somPredictCurrPatSetWinners: Get most of the relevant results from a som

Description

Usage

Arguments

Value

See Also