aima.learning.statistics
Class FeedForwardNetwork

java.lang.Object
  aima.learning.statistics.FeedForwardNetwork

public class FeedForwardNetwork
extends java.lang.Object

Constructor Summary

FeedForwardNetwork()

FeedForwardNetwork(int neuronsInInputLayer, int neuronsInHiddenLayer, int neuronsInOutoutLayer, Randomizer random)

FeedForwardNetwork(int neuronsInInputLayer, int neuronsInOuterLayer, Randomizer random)

Method Summary

void	addLayer(Layer layer, Randomizer weightSource)
java.util.List<java.lang.Double>	error(java.util.List<java.lang.Double> expectedOutput)
java.util.List<Layer>	getHiddenLayers()
Layer	getInputLayer()
Layer	getOutputLayer()
int	layerCount()
java.util.List<java.lang.Double>	output()
void	propogateInput(java.util.List<java.lang.Double> input)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FeedForwardNetwork

public FeedForwardNetwork()

FeedForwardNetwork

public FeedForwardNetwork(int neuronsInInputLayer,
                          int neuronsInOuterLayer,
                          Randomizer random)

FeedForwardNetwork

public FeedForwardNetwork(int neuronsInInputLayer,
                          int neuronsInHiddenLayer,
                          int neuronsInOutoutLayer,
                          Randomizer random)

Method Detail

addLayer

public void addLayer(Layer layer,
                     Randomizer weightSource)

propogateInput

public void propogateInput(java.util.List<java.lang.Double> input)

output

public java.util.List<java.lang.Double> output()

error

public java.util.List<java.lang.Double> error(java.util.List<java.lang.Double> expectedOutput)

getOutputLayer

public Layer getOutputLayer()

getInputLayer

public Layer getInputLayer()

getHiddenLayers

public java.util.List<Layer> getHiddenLayers()

layerCount

public int layerCount()