extractNetInfo

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

object

This function generates a list of data.frames containing the most important information 
that defines a network, in a format that is easy to use. To get the full definition in 
the original SNNS format, use <code><a href="/link/summary.rsnns?package=RSNNS&version=0.4-3" rd-options="" data-mini-rdoc="RSNNS::summary.rsnns">summary.rsnns</a></code> or <code><a href="/link/exportToSnnsNetFile?package=RSNNS&version=0.4-3" rd-options="" data-mini-rdoc="RSNNS::exportToSnnsNetFile">exportToSnnsNetFile</a></code> 
instead.

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.

extractNetInfo: Extract information from a network

Description

Usage

Arguments

Value

Details

See Also