org.encog.neural.thermal

Class ThermalNetwork

java.lang.Object

org.encog.ml.BasicML

org.encog.neural.thermal.ThermalNetwork

All Implemented Interfaces:

java.io.Serializable, MLAutoAssocation, MLInput, MLInputOutput, MLMethod, MLOutput, MLProperties, MLRegression, MLResettable

Direct Known Subclasses:

BoltzmannMachine, HopfieldNetwork

public abstract class ThermalNetwork
extends BasicML
implements MLMethod, MLAutoAssocation, MLResettable

The thermal network forms the base class for Hopfield and Boltzmann machines.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ThermalNetwork() Default constructor.
ThermalNetwork(int neuronCount) Construct the network with the specicified neuron count.

Method Summary

Modifier and Type	Method and Description
void	addWeight(int fromNeuron, int toNeuron, double value) Add to the specified weight.
double	calculateEnergy()
void	clear() Clear any connection weights.
BiPolarNeuralData	getCurrentState()
int	getNeuronCount()
double	getWeight(int fromNeuron, int toNeuron) Get a weight.
double[]	getWeights()
void	init(int neuronCount, double[] weights, double[] output) Init the network.
void	reset() Reset the weights.
void	reset(int seed) Reset the weights with a seed.
void	setCurrentState(BiPolarNeuralData state)
void	setCurrentState(double[] s) Set the current state.
void	setNeuronCount(int c) Set the neuron count.
void	setWeight(int fromNeuron, int toNeuron, double value) Set the weight.
void	setWeights(double[] w) Set the weight array.

Methods inherited from class org.encog.ml.BasicML

getProperties, getPropertyDouble, getPropertyLong, getPropertyString, setProperty, setProperty, setProperty, updateProperties

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.encog.ml.MLRegression

compute

Methods inherited from interface org.encog.ml.MLInput

getInputCount

Methods inherited from interface org.encog.ml.MLOutput

getOutputCount

Constructor Detail

ThermalNetwork

public ThermalNetwork()

Default constructor.

ThermalNetwork

public ThermalNetwork(int neuronCount)

Construct the network with the specicified neuron count.

Parameters:

neuronCount - The number of neurons.

Method Detail

addWeight

public void addWeight(int fromNeuron,
                      int toNeuron,
                      double value)

Add to the specified weight.

Parameters:

fromNeuron - The from neuron.

toNeuron - The to neuron.

value - The value to add.

calculateEnergy

public double calculateEnergy()

Returns:

Calculate the current energy for the network. The network will seek to lower this value.

clear

public void clear()

Clear any connection weights.

getCurrentState

public BiPolarNeuralData getCurrentState()

Returns:

The current state of the network.

getNeuronCount

public int getNeuronCount()

Returns:

Get the neuron count for the network.

getWeight

public double getWeight(int fromNeuron,
                        int toNeuron)

Get a weight.

Parameters:

fromNeuron - The from neuron.

toNeuron - The to neuron.

Returns:

The weight.

getWeights

public double[] getWeights()

Returns:

The weights.

init

public void init(int neuronCount,
                 double[] weights,
                 double[] output)

Init the network.

Parameters:

neuronCount - The neuron count.

weights - The weights.

output - The toutpu

reset

public void reset()

Reset the weights.

Specified by:

reset in interface MLResettable

reset

public void reset(int seed)

Reset the weights with a seed.

Specified by:

reset in interface MLResettable

Parameters:

seed - The seed value.

setCurrentState

public void setCurrentState(BiPolarNeuralData state)

Parameters:

state - The current state for the network.

setCurrentState

public void setCurrentState(double[] s)

Set the current state.

Parameters:

s - The current state array.

setNeuronCount

public void setNeuronCount(int c)

Set the neuron count.

Parameters:

c - The neuron count.

setWeight

public void setWeight(int fromNeuron,
                      int toNeuron,
                      double value)

Set the weight.

Parameters:

fromNeuron - The from neuron.

toNeuron - The to neuron.

value - The value.

setWeights

public void setWeights(double[] w)

Set the weight array.

Parameters:

w - The weight array.