createPatSet,SnnsR-method

SnnsR__createPatSet

SnnsRObject$createPatSet

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