Module fr.inria.MochyCore

Package fr.inria.mochy.core.equalization

Class EquNetNeural

java.lang.Object

fr.inria.mochy.core.abstractClass.PhysicalModel

fr.inria.mochy.core.equalization.EquNet

fr.inria.mochy.core.equalization.EquNetNeural

Direct Known Subclasses:

EquNetNeuralFix, EquNetNeuralMov

public abstract class EquNetNeural
extends EquNet

An EqualizationNet EquNetNeural model with transitions, places and their state. It is loaded from a net file. The time to browse is calculated with a neural network/IA. It is an abstract class which extends EquNet, its subclass are EquNetNeuralFix and EquNetNeuralMov.

Field Summary

Fields

Modifier and Type	Field	Description
org.neuroph.core.NeuralNetwork	nnet

Fields inherited from class fr.inria.mochy.core.equalization.EquNet

blocked, enabled, fireable, garage, initialState, places, transitions

Fields inherited from class fr.inria.mochy.core.abstractClass.PhysicalModel

discreteStep, fname, nbDiscreteSteps, nbTokens, startLogs, stepsNb, timeElapsed, tokens

Constructor Summary

Constructors

Constructor	Description
EquNetNeural(String fname)	instantiate EquNetNeural, set the input file path and load the neural network used as specified in the input file as neuralNet:pathInTheNeuralFolder

Method Summary

Modifier and Type	Method	Description
void	displayWeights()	display the weights of the connections of the neural network loaded in the console
float	getBeta()	get the beta coefficient as specified in the input file as a line : beta:value it is used in statsAndTask.OptimizeNeuralNetTask in the MochyUi project where it is seeked to minimize (timeElapsed + beta * |targetSpeed - averageSpeed|)
org.neuroph.core.NeuralNetwork	getNnet()	get the neural network used as the regulation during the simulation
String	getNnetPath()	get the path of the neural network used as the regulation during the simulation
int	getTargetSpeed()	get the target speed as specified in the input file as a line : targetSpeed:value it is used in statsAndTask.OptimizeNeuralNetTask in the MochyUi project where it is seeked to minimize (timeElapsed + beta * |targetSpeed - averageSpeed|)
String	loadFile()	called to load the input model file
void	reset(boolean value)	reset the network model to its initial status
void	saveNeuralNetwork(String pathToData, int outOfTargetNb, float value, float averageSpeed, float time, boolean setNnet)	save the current neural network and stats in pathToData they are in the neural folder
void	setNeuralNetwork(org.neuroph.core.NeuralNetwork neuralNetwork)	set the neural network to use as the regulation during the simulation

Methods inherited from class fr.inria.mochy.core.equalization.EquNet

addInFlow, addOutFlow, addToken, discreteMove, discreteMove, drop, dropConfig, findPlace, findTransition, findTransition, fireableTransition, getALPHA, getAverage, getAvgSpeed, getClock, getControlPlace, getControlPlaces, getCurrentAvgSpeed, getCurrentMaxSpeed, getCurrentMinSpeed, getDistanceInNetwork, getDistanceInPlace, getEnabled, getFirable, getLastTokenSpeed, getLastTokenTtb, getNbDiscreteSteps, getPlaces, getRANGE_NOISE, getSpeed, getStandardDeviation, getStandardDeviation, getTimeElapsed, getTimeToBrowse, getTokens, getTotalDistance, getTransitionClock, getTransitions, getWeibullCoef, handleLine, insertToken, isBlocked, isDiscreteMove, isGaussian, isWeibull, maxAllowedTimedMove, multipleSteps, numberBlocked, numberFireable, resetSpeedData, setALPHA, setBunchingState, setRANGE_NOISE

Methods inherited from class fr.inria.mochy.core.abstractClass.PhysicalModel

discreteMove, getStepsNb, isDiscreteStep, minimumClock, progressTime

Methods inherited from class java.lang.Object

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

Field Detail

nnet

public org.neuroph.core.NeuralNetwork nnet

Constructor Detail

EquNetNeural

public EquNetNeural(String fname)
             throws FileNotFoundException

instantiate EquNetNeural, set the input file path and load the neural network used as specified in the input file as neuralNet:pathInTheNeuralFolder

Throws:

FileNotFoundException

Method Detail

loadFile

public String loadFile()

Description copied from class: PhysicalModel

called to load the input model file

Overrides:

loadFile in class EquNet

displayWeights

public void displayWeights()

display the weights of the connections of the neural network loaded in the console

setNeuralNetwork

public void setNeuralNetwork(org.neuroph.core.NeuralNetwork neuralNetwork)

set the neural network to use as the regulation during the simulation

getNnet

public org.neuroph.core.NeuralNetwork getNnet()

get the neural network used as the regulation during the simulation

getNnetPath

public String getNnetPath()

get the path of the neural network used as the regulation during the simulation

saveNeuralNetwork

public void saveNeuralNetwork(String pathToData,
                              int outOfTargetNb,
                              float value,
                              float averageSpeed,
                              float time,
                              boolean setNnet)

save the current neural network and stats in pathToData they are in the neural folder

Parameters:

outOfTargetNb -

averageSpeed -

averageTimeElapsed -

value - : timeElapsed + beta * |targetSpeed - averageSpeed|

reset

public void reset(boolean value)

Description copied from class: PhysicalModel

reset the network model to its initial status

Overrides:

reset in class EquNet

getTargetSpeed

public int getTargetSpeed()

get the target speed as specified in the input file as a line : targetSpeed:value it is used in statsAndTask.OptimizeNeuralNetTask in the MochyUi project where it is seeked to minimize (timeElapsed + beta * |targetSpeed - averageSpeed|)

getBeta

public float getBeta()

get the beta coefficient as specified in the input file as a line : beta:value it is used in statsAndTask.OptimizeNeuralNetTask in the MochyUi project where it is seeked to minimize (timeElapsed + beta * |targetSpeed - averageSpeed|)