createNet,SnnsR-method

SnnsR__createNet

SnnsRObject$createNet

a vector of integers that represents
  the number of units in each layer, including input and
  output layer

unitsPerLayer

if <code>TRUE</code>, the
  network is fully connected as a feed-forward network. If
  <code>FALSE</code>, no connections are created

fullyConnectedFeedForward

iNames

oNames

This function creates a layered network in the given
  SnnsR object. This is an SnnsR low-level function. You
  may want to have a look at <code><a href="/link/SnnsR-class?package=RSNNS&version=0.4-5" rd-options="" data-mini-rdoc="RSNNS::SnnsR-class">SnnsR-class</a></code> to
  find out how to properly use it.

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.

SnnsRObject$createNet: Create a layered network

Description

Usage

Arguments

See Also

Examples