SnnsRObject$extractPatterns

SnnsR__extractPatterns

extractPatterns,SnnsR-method


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.

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SnnsRObject$extractPatterns: Extract the current pattern set to a matrix

Description

Usage

Arguments

Value