org.neuroph.contrib.matrixmlp

Class MatrixMultiLayerPerceptron

java.lang.Object

org.neuroph.core.NeuralNetwork

org.neuroph.contrib.matrixmlp.MatrixMultiLayerPerceptron

All Implemented Interfaces:

java.io.Serializable

public class MatrixMultiLayerPerceptron
extends NeuralNetwork

Matrix based implementation of Multi LAyer Perceptron

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MatrixMultiLayerPerceptron(MultiLayerPerceptron sourceNetwork)

Method Summary

Modifier and Type	Method and Description
void	calculate() Performs calculation on whole network
int	getLayersCount() Returns number of layers in network
MatrixLayer[]	getMatrixLayers()
double[]	getOutput() Returns network output vector.
void	setInput(double... inputs) Sets network input.

Methods inherited from class org.neuroph.core.NeuralNetwork

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

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

MatrixMultiLayerPerceptron

public MatrixMultiLayerPerceptron(MultiLayerPerceptron sourceNetwork)

Method Detail

getMatrixLayers

public MatrixLayer[] getMatrixLayers()

calculate

public void calculate()

Description copied from class: NeuralNetwork

Performs calculation on whole network

Overrides:

calculate in class NeuralNetwork

setInput

public void setInput(double... inputs)

Description copied from class: NeuralNetwork

Sets network input. Input is an array of double values.

Overrides:

setInput in class NeuralNetwork

Parameters:

inputs - network input as double array

getOutput

public double[] getOutput()

Description copied from class: NeuralNetwork

Returns network output vector. Output vector is an array collection of Double values.

Overrides:

getOutput in class NeuralNetwork

Returns:

network output vector

getLayersCount

public int getLayersCount()

Description copied from class: NeuralNetwork

Returns number of layers in network

Overrides:

getLayersCount in class NeuralNetwork

Returns:

number of layes in net