org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks

Class Neural_Network

java.lang.Object

org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks.Neural_Network

All Implemented Interfaces:

Serializable

public class Neural_Network
extends Object
implements Serializable

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Neural_Network.ACTIVATIONFUNCTION

Field Summary

Fields

Modifier and Type	Field and Description
double	en
Neuron[][]	griglia
double	maxfactor
double	minfactor
float	status

Constructor Summary

Constructors

Constructor and Description
Neural_Network(int N, int M, int attifun)
Neural_Network(int N, int M, int[] t, int attifun)
Neural_Network(int N, int M, int[] t, Neural_Network.ACTIVATIONFUNCTION attifun)
Neural_Network(int N, int M, int attifun, float[] V)
Neural_Network(int N, int M, Neural_Network.ACTIVATIONFUNCTION attifun)
Neural_Network(int N, int M, Neural_Network.ACTIVATIONFUNCTION attifun, float[] V)

Method Summary

Modifier and Type	Method and Description
static String	generateNNName(String referenceEntity, String username, String neuralNetName)
double[]	getClassification(double[] out)
double	getCorrectValueForOutput(double output)
double	getCorrectValueFromOutput(double prob)
double[]	getNegativeCase()
int	getNumberOfInputs()
int	getNumberOfOutputs()
double[]	getPositiveCase()
static Neural_Network	loadNN(String nomeFile)
static void	main(String[] args)
static double[]	preprocessObjects(double[] vector)
static double[]	preprocessObjects(Object[] vector)
double[]	propagate(double[] input)
void	setAcceptanceThreshold(double treshold)
void	setCycles(double cycs)
void	setThreshold(double soglia)
static int[]	setupInnerLayers(int... numberOfNeurons)
void	train(double[][] inputvet, double[][] correctoutputvet)
void	writeout(double numero, double soglia)

Methods inherited from class java.lang.Object

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

Field Detail

griglia

public Neuron[][] griglia

maxfactor

public double maxfactor

minfactor

public double minfactor

status

public float status

en

public double en

Constructor Detail

Neural_Network

public Neural_Network(int N,
                      int M,
                      Neural_Network.ACTIVATIONFUNCTION attifun)

Neural_Network

public Neural_Network(int N,
                      int M,
                      Neural_Network.ACTIVATIONFUNCTION attifun,
                      float[] V)

Neural_Network

public Neural_Network(int N,
                      int M,
                      int[] t,
                      Neural_Network.ACTIVATIONFUNCTION attifun)

Neural_Network

public Neural_Network(int N,
                      int M,
                      int attifun)

Neural_Network

public Neural_Network(int N,
                      int M,
                      int attifun,
                      float[] V)

Neural_Network

public Neural_Network(int N,
                      int M,
                      int[] t,
                      int attifun)

Method Detail

setThreshold

public void setThreshold(double soglia)

getCorrectValueFromOutput

public double getCorrectValueFromOutput(double prob)

getCorrectValueForOutput

public double getCorrectValueForOutput(double output)

setAcceptanceThreshold

public void setAcceptanceThreshold(double treshold)

setCycles

public void setCycles(double cycs)

preprocessObjects

public static double[] preprocessObjects(Object[] vector)

preprocessObjects

public static double[] preprocessObjects(double[] vector)

getNumberOfOutputs

public int getNumberOfOutputs()

getNumberOfInputs

public int getNumberOfInputs()

getPositiveCase

public double[] getPositiveCase()

getNegativeCase

public double[] getNegativeCase()

setupInnerLayers

public static int[] setupInnerLayers(int... numberOfNeurons)

propagate

public double[] propagate(double[] input)

train

public void train(double[][] inputvet,
                  double[][] correctoutputvet)

writeout

public void writeout(double numero,
                     double soglia)

getClassification

public double[] getClassification(double[] out)

loadNN

public static Neural_Network loadNN(String nomeFile)

generateNNName

public static String generateNNName(String referenceEntity,
                                    String username,
                                    String neuralNetName)

main

public static void main(String[] args)