SnnsR__genericPredictCurrPatSet

genericPredictCurrPatSet,SnnsR-method

SnnsRObject$genericPredictCurrPatSet

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