SnnsR__createPatSet

createPatSet,SnnsR-method

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