network
Class DefaultNeuronWithBias

java.lang.Object
  network.DefaultNeuronWithBias

All Implemented Interfaces:

NeuronModel

public class DefaultNeuronWithBias
extends java.lang.Object
implements NeuronModel

Class representing neuron with bias and specyfied activation function

See Also:

ActivationFunctionModel

Constructor Summary

DefaultNeuronWithBias(double[] weightArray, ActivationFunctionModel activationFunction)
Creates a new instance of DefaultNeuronWithBias with specified weights defined in array

DefaultNeuronWithBias(int weightNumber, double[] maxWeight, ActivationFunctionModel activationFunction)
Creates a new instance of DefaultNeuronWithBias with random weights value

Method Summary

ActivationFunctionModel	getActivationFunction() Return reference to activation function
double	getBias() Return value of the bias
double	getValue(double[] inputVector) Return value of the neuron after activation.
double[]	getWeight() Returns array contains valu of the weights
void	setActivationFunction(ActivationFunctionModel activationFunction) Set activation function
void	setBias(double bias) Set bias
void	setWeight(double[] weight) Set weigths from array as parameter

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultNeuronWithBias

public DefaultNeuronWithBias(int weightNumber,
                             double[] maxWeight,
                             ActivationFunctionModel activationFunction)

Creates a new instance of DefaultNeuronWithBias with random weights value

Parameters:

weightNumber - numbers of weigths

maxWeight - maximal value of neuron weight

activationFunction - reference to activation function

DefaultNeuronWithBias

public DefaultNeuronWithBias(double[] weightArray,
                             ActivationFunctionModel activationFunction)

Creates a new instance of DefaultNeuronWithBias with specified weights defined in array

Parameters:

weightArray - array of weights value

activationFunction - reference to activation function

Method Detail

getWeight

public double[] getWeight()

Returns array contains valu of the weights

Specified by:

getWeight in interface NeuronModel

Returns:

array of the weights

setWeight

public void setWeight(double[] weight)

Set weigths from array as parameter

Specified by:

setWeight in interface NeuronModel

Parameters:

weight - array of the weights

getValue

public double getValue(double[] inputVector)

Return value of the neuron after activation.

Specified by:

getValue in interface NeuronModel

Parameters:

inputVector - input vector for neuron

Returns:

return

getBias

public double getBias()

Return value of the bias

Returns:

value of the bias

setBias

public void setBias(double bias)

Set bias

Parameters:

bias - value of the bias

getActivationFunction

public ActivationFunctionModel getActivationFunction()

Return reference to activation function

Returns:

reference to activation function

setActivationFunction

public void setActivationFunction(ActivationFunctionModel activationFunction)

Set activation function

Parameters:

activationFunction - reference to activation function