predict.rsnns

the <code><a href="/link/rsnns?package=RSNNS&version=0.4-3" rd-options="" data-mini-rdoc="RSNNS::rsnns">rsnns</a></code> object

object

the new input data which is used for prediction

newdata

additional function parameters (currently not used)

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.

predict.rsnns: Generic predict function for rsnns object

Description

Usage

Arguments

Value