org.vizzini.ai.neuralnetwork
Class AbstractConnector

java.lang.Object
  org.vizzini.util.AbstractBean
      org.vizzini.ai.neuralnetwork.AbstractConnector

All Implemented Interfaces:

Cloneable, IConnector

Direct Known Subclasses:

Connector

abstract class AbstractConnector
extends AbstractBean
implements IConnector

Provides base functionality for connectors between layers in a neural network.

Since:

v0.3

Version:

v0.3

Author:

Jeffrey M. Thompson

Field Summary

Fields inherited from class org.vizzini.util.AbstractBean

IGNORE_PROPERTIES

Constructor Summary

AbstractConnector(ILayer fromLayer, ILayer toLayer)
Construct this object with the given parameters.

Method Summary

Object	clone() Return a clone of this instance.
boolean	equals(Object object) Return true if the given object is equal to this.
void	fillWeights(double value) Assign the given value to all weights.
ILayer	getFromLayer() Return the from layer.
ILayer	getToLayer() Return the to layer.
double	getWeight(int i, int j) Return the weight for the given parameters.
int	getWeightCount() Return a count of the weights.
protected double[][]	getWeights() Return the weights for the given parameters.
double[]	getWeights(int i) Return the weights for the given parameters.
void	randomizeWeights() Assign random weights to the neural network in [-0.1,0.1].
void	randomizeWeights(double range) Assign random weights to the neural network.
protected void	setFromLayer(ILayer fromLayer)
protected void	setToLayer(ILayer toLayer)
void	setWeight(int i, int j, double weight) Set the weight for the given parameters.
protected void	setWeights(double[][] weights) Set the weights.
String	toString() Return a string representation of this object.
void	zeroWeights() Assign zero weights.

Methods inherited from class org.vizzini.util.AbstractBean

appendArray, appendCollection, appendList, appendMap, compareBooleans, compareObjects, getIgnoreProperties, hashCode

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.vizzini.ai.neuralnetwork.IConnector

adjustWeights, hashCode

Constructor Detail

AbstractConnector

public AbstractConnector(ILayer fromLayer,
                         ILayer toLayer)

Construct this object with the given parameters.

Parameters:

fromLayer - From layer.

toLayer - To layer.

Since:

v0.3

Method Detail

clone

public Object clone()

Return a clone of this instance.

Specified by:

clone in interface IConnector

Overrides:

clone in class Object

Since:

v0.3

equals

public boolean equals(Object object)

Return true if the given object is equal to this.

Specified by:

equals in interface IConnector

Overrides:

equals in class AbstractBean

Parameters:

object - The object to compare.

Returns:

Returns true if the objects are equal, otherwise false

Since:

v0.3

fillWeights

public void fillWeights(double value)

Assign the given value to all weights.

Specified by:

fillWeights in interface IConnector

Since:

v0.3

getFromLayer

public ILayer getFromLayer()

Description copied from interface: IConnector

Return the from layer.

Specified by:

getFromLayer in interface IConnector

Returns:

Return fromLayer.

Since:

v0.3

getToLayer

public ILayer getToLayer()

Description copied from interface: IConnector

Return the to layer.

Specified by:

getToLayer in interface IConnector

Returns:

Return toLayer.

Since:

v0.3

getWeight

public double getWeight(int i,
                        int j)

Return the weight for the given parameters.

Specified by:

getWeight in interface IConnector

Parameters:

i - From layer node index.

j - To layer node index.

Since:

v0.3

getWeightCount

public int getWeightCount()

Return a count of the weights.

Specified by:

getWeightCount in interface IConnector

Since:

v0.3

getWeights

public double[] getWeights(int i)

Return the weights for the given parameters.

Specified by:

getWeights in interface IConnector

Parameters:

i - From layer node index.

Since:

v0.3

randomizeWeights

public void randomizeWeights()

Assign random weights to the neural network in [-0.1,0.1].

Specified by:

randomizeWeights in interface IConnector

Since:

v0.3

randomizeWeights

public void randomizeWeights(double range)

Assign random weights to the neural network.

Specified by:

randomizeWeights in interface IConnector

Parameters:

range - ±Range of random weights around zero.

Since:

v0.3

setWeight

public void setWeight(int i,
                      int j,
                      double weight)

Set the weight for the given parameters.

Specified by:

setWeight in interface IConnector

Parameters:

i - From layer node index.

j - To layer node index.

weight - New weight.

Since:

v0.3

toString

public String toString()

Return a string representation of this object.

Specified by:

toString in interface IConnector

Overrides:

toString in class AbstractBean

Since:

v0.3

zeroWeights

public void zeroWeights()

Assign zero weights.

Specified by:

zeroWeights in interface IConnector

Since:

v0.3

getWeights

protected double[][] getWeights()

Return the weights for the given parameters.

Since:

v0.3

setFromLayer

protected void setFromLayer(ILayer fromLayer)

Parameters:

fromLayer - The fromLayer to set.

Since:

v0.3

setToLayer

protected void setToLayer(ILayer toLayer)

Parameters:

toLayer - The toLayer to set.

Since:

v0.3

setWeights

protected void setWeights(double[][] weights)

Set the weights.

Since:

v0.3