C# Class Nn.Neural_network

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Public Properties

Property	Type	Description
network	List>

Public Methods

Method	Description
Neural_network ( ) : UnityEngine
Neural_network ( List Nn ) : UnityEngine
Neural_network ( List network_weight ) : UnityEngine
Neural_network ( List n_neuronIlayer ) : UnityEngine
Neural_network ( Neural_network neuroNet ) : UnityEngine
addNeuron ( int layer_num, Neuron neur ) : void
fire ( List network_input ) : List
getLayer ( int layer_num ) : List
getNbLayer ( ) : int
getNbNeuronAtLayer ( int layer_num ) : int
getNetwork ( ) : List>
getNeuron ( int layer_num, int Neuron_num ) : Neuron
getOutput ( ) : List
getWeigth ( int layer_num, int Neuron_num, int weigth_num ) : double
gradientRetropropagation ( List targetOutput, double lambda = 0.4 ) : void
setWeigth ( double w, int layer_num, int Neuron_num, int weigth_num ) : void
size ( ) : string
toString ( ) : void

Private Methods

Method	Description
predictionError ( List target ) : List
prod ( List list1, List list2 ) : double
sigmoidDerivate ( double val, double lambda = 0.2 ) : double

Method Details

Neural_network() public method

public Neural_network ( ) : UnityEngine
return	UnityEngine

Neural_network() public method

public Neural_network ( List Nn ) : UnityEngine
Nn	List
return	UnityEngine

Neural_network() public method

public Neural_network ( List network_weight ) : UnityEngine
network_weight	List
return	UnityEngine

Neural_network() public method

public Neural_network ( List n_neuronIlayer ) : UnityEngine
n_neuronIlayer	List
return	UnityEngine

Neural_network() public method

public Neural_network ( Neural_network neuroNet ) : UnityEngine
neuroNet	Neural_network
return	UnityEngine

addNeuron() public method

public addNeuron ( int layer_num, Neuron neur ) : void
layer_num	int
neur	Neuron
return	void

fire() public method

public fire ( List network_input ) : List
network_input	List
return	List

getLayer() public method

public getLayer ( int layer_num ) : List
layer_num	int
return	List

getNbLayer() public method

public getNbLayer ( ) : int
return	int

getNbNeuronAtLayer() public method

public getNbNeuronAtLayer ( int layer_num ) : int
layer_num	int
return	int

getNetwork() public method

public getNetwork ( ) : List>
return	List>

getNeuron() public method

public getNeuron ( int layer_num, int Neuron_num ) : Neuron
layer_num	int
Neuron_num	int
return	Neuron

getOutput() public method

public getOutput ( ) : List
return	List

getWeigth() public method

public getWeigth ( int layer_num, int Neuron_num, int weigth_num ) : double
layer_num	int
Neuron_num	int
weigth_num	int
return	double

gradientRetropropagation() public method

public gradientRetropropagation ( List targetOutput, double lambda = 0.4 ) : void
targetOutput	List
lambda	double
return	void

setWeigth() public method

public setWeigth ( double w, int layer_num, int Neuron_num, int weigth_num ) : void
w	double
layer_num	int
Neuron_num	int
weigth_num	int
return	void

size() public method

public size ( ) : string
return	string

toString() public method

public toString ( ) : void
return	void

Property Details

network public_oe property

public List> network
return	List>