SnnsR__predictCurrPatSet

predictCurrPatSet,SnnsR-method

SnnsRObject$predictCurrPatSet

is passed to <a href="/link/SnnsRObject%24whereAreResults?package=RSNNS&version=0.4-4" rd-options="" 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.

SnnsRObject$predictCurrPatSet: Predict values with a trained net

Description

Usage

Arguments

Value

Details