SnnsR__extractPatterns

extractPatterns,SnnsR-method

SnnsRObject$extractPatterns

SnnsR low-level function that extracts all patterns of the current pattern set and
returns them as a matrix. Columns are named with the prefix "in" or "out", respectively.

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$extractPatterns: Extract the current pattern set to a matrix

Description

Usage

Arguments

Value