org.neuroph.nnet

Class MultiLayerPerceptron

java.lang.Object

org.neuroph.core.NeuralNetwork<BackPropagation>

org.neuroph.nnet.MultiLayerPerceptron

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

AutoencoderNetwork

public class MultiLayerPerceptron
extends NeuralNetwork<BackPropagation>

Multi Layer Perceptron neural network with Back propagation learning algorithm.

Author:

Zoran Sevarac

See Also:

BackPropagation, MomentumBackpropagation, Serialized Form

Field Summary

Fields inherited from class org.neuroph.core.NeuralNetwork

outputBuffer

Constructor Summary

Constructors

Constructor and Description
MultiLayerPerceptron(int... neuronsInLayers)
MultiLayerPerceptron(List<Integer> neuronsInLayers) Creates new MultiLayerPerceptron with specified number of neurons in layers
MultiLayerPerceptron(List<Integer> neuronsInLayers, NeuronProperties neuronProperties) Creates new MultiLayerPerceptron net with specified number neurons in getLayersIterator
MultiLayerPerceptron(List<Integer> neuronsInLayers, TransferFunctionType transferFunctionType)
MultiLayerPerceptron(TransferFunctionType transferFunctionType, int... neuronsInLayers)

Method Summary

Modifier and Type	Method and Description
void	connectInputsToOutputs()

Methods inherited from class org.neuroph.core.NeuralNetwork

addLayer, addLayer, addListener, addPlugin, calculate, createConnection, createFromFile, createFromFile, fireNetworkEvent, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getNetworkType, getOutput, getOutputLabels, getOutputNeurons, getOutputsCount, getPlugin, getWeights, indexOf, isEmpty, learn, learn, load, load, pauseLearning, randomizeWeights, randomizeWeights, randomizeWeights, randomizeWeights, removeLayer, removeLayerAt, removeListener, removePlugin, reset, resumeLearning, save, setInput, setInputNeurons, setLabel, setLearningRule, setNetworkType, setOutputLabels, setOutputNeurons, setWeights, stopLearning, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiLayerPerceptron

public MultiLayerPerceptron(List<Integer> neuronsInLayers)

Creates new MultiLayerPerceptron with specified number of neurons in layers

Parameters:

neuronsInLayers - collection of neuron number in layers

MultiLayerPerceptron

public MultiLayerPerceptron(int... neuronsInLayers)

MultiLayerPerceptron

public MultiLayerPerceptron(TransferFunctionType transferFunctionType,
                            int... neuronsInLayers)

MultiLayerPerceptron

public MultiLayerPerceptron(List<Integer> neuronsInLayers,
                            TransferFunctionType transferFunctionType)

MultiLayerPerceptron

public MultiLayerPerceptron(List<Integer> neuronsInLayers,
                            NeuronProperties neuronProperties)

Creates new MultiLayerPerceptron net with specified number neurons in getLayersIterator

Parameters:

neuronsInLayers - collection of neuron numbers in layers

neuronProperties - neuron properties

Method Detail

connectInputsToOutputs

public void connectInputsToOutputs()