SnnsRObject$setUnitDefaults

SnnsR__setUnitDefaults

setUnitDefaults,SnnsR-method

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