All Implemented Interfaces:
A self organizing map is a neural network pattern with an input and output
layer. There is no hidden layer. The winning neuron, which is that neuron
with the higest output is the winner, this winning neuron is often used to
classify the input into a group.
Constructor and Description
Methods inherited from class java.lang.
Object clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
public void addHiddenLayer(int count)
Add a hidden layer. SOM networks do not have hidden layers, so this will
throw an error.
addHiddenLayer NeuralNetworkPattern Parameters:
count - The number of hidden neurons.
public void setActivationFunction(
Set the activation function. A SOM uses a linear activation function, so
this method throws an error.
setActivationFunction NeuralNetworkPattern Parameters:
activation - The activation function to use.
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