SnnsRObject$createPatSet

SnnsR__createPatSet

createPatSet,SnnsR-method

inputs

targets


SnnsR low-level function to create a pattern set in the SNNS kernel from 
the values given, so that they are available in the SNNS kernel for use.


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.

Christoph Bergmeir

RSNNS

Neural Networks in R using the Stuttgart Neural Network
Simulator (SNNS)

SnnsRObject$createPatSet function

Create a pattern set

SnnsRObject$createPatSet: Create a pattern set

Description

Usage

Arguments

Value