SnnsRObject$genericPredictCurrPatSet

SnnsR__genericPredictCurrPatSet

genericPredictCurrPatSet,SnnsR-method

units

the parameters for the update function (the function has to be already set)

updateFuncParams


SnnsR low-level function for generic prediction 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.

SnnsRObject$genericPredictCurrPatSet: Predict values with a trained net

Description

Usage

Arguments

Value