extractPatterns,SnnsR-method

SnnsR__extractPatterns

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