org.neuroph.core

Class Weight<T>

java.lang.Object

org.neuroph.core.Weight<T>

Type Parameters:

T - weight training data

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

public class Weight<T>
extends java.lang.Object
implements java.io.Serializable, java.lang.Cloneable

Neuron connection weight.

See Also:

Connection, Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	value Weight value
double	weightChange Weight change

Constructor Summary

Constructors

Constructor and Description
Weight() Creates an instance of connection weight with random weight value in range [-0.5 ..
Weight(double value) Creates an instance of connection weight with the specified weight value

Method Summary

Modifier and Type	Method and Description
java.lang.Object	clone() Returns cloned instance of this weight Important: trainingData will be lost in cloned instance
void	dec(double amount) Decreases the weight for specified amount
boolean	equals(java.lang.Object obj)
T	getTrainingData() Returns training data buffer for this weight
double	getValue() Returns weight value
int	hashCode()
void	inc(double amount) Increases the weight for the specified amount
void	randomize(double min, double max) Deprecated.
void	setTrainingData(T trainingData)
void	setValue(double value) Sets the weight value
java.lang.String	toString() Returns weight value as String

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Field Detail

value

public double value

Weight value

weightChange

public transient double weightChange

Weight change

Constructor Detail

Weight

public Weight()

Creates an instance of connection weight with random weight value in range [-0.5 .. 0.5]

Weight

public Weight(double value)

Creates an instance of connection weight with the specified weight value

Parameters:

value - weight value

Method Detail

inc

public final void inc(double amount)

Increases the weight for the specified amount

Parameters:

amount - amount to add to current weight value

dec

public final void dec(double amount)

Decreases the weight for specified amount

Parameters:

amount - amount to subtract from the current weight value

setValue

public final void setValue(double value)

Sets the weight value

Parameters:

value - weight value to set

getValue

public final double getValue()

Returns weight value

Returns:

value of this weight

toString

public java.lang.String toString()

Returns weight value as String

Overrides:

toString in class java.lang.Object

randomize

@Deprecated
public void randomize(double min,
                                  double max)

Deprecated.

Sets random weight value within specified interval Use weight randomizers for this

getTrainingData

public final T getTrainingData()

Returns training data buffer for this weight

Returns:

training data buffer for this weight

setTrainingData

public final void setTrainingData(T trainingData)

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Returns cloned instance of this weight Important: trainingData will be lost in cloned instance

Overrides:

clone in class java.lang.Object

Returns:

cloned instance of this weight

Throws:

java.lang.CloneNotSupportedException

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object