SnnsR__genericPredictCurrPatSet

genericPredictCurrPatSet,SnnsR-method

SnnsRObject$genericPredictCurrPatSet

units

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

updateFuncParams

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, nearly all
        of the 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$genericPredictCurrPatSet function

Predict values with a trained net.

SnnsRObject$genericPredictCurrPatSet: Predict values with a trained net.

Description

Usage

Arguments

Value

Details