setUnitDefaults,SnnsR-method

SnnsR__setUnitDefaults

SnnsRObject$setUnitDefaults

bias

subnet_no

layer_no

act_func

out_func

This SnnsR low-level function masks the SNNS kernel
  function of the same name to allow both for giving the
  parameters directly or as a vector. If the second
  parameter, <code>bias</code>, is missing, it is assumed that
  the first parameter should be interpreted as a vector
  containing all parameters.

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$setUnitDefaults function

Set the unit defaults

SnnsRObject$setUnitDefaults: Set the unit defaults

Description

Usage

Arguments