C# Class FANNCSharp.Fixed.NeuralNet

Inheritance: IDisposable

Mostrar archivo Open project: joelself/FannCSharp Class Usage Examples

Private Properties

Property	Type	Description
NeuralNet	System

Public Methods

Method	Description
DisableSeedRand ( ) : void
Dispose ( ) : void
EnableSeedRand ( ) : void
GetActivationFunction ( int layer, int neuron ) : ActivationFunction
GetActivationSteepness ( int layer, int neuron ) : int
InitWeights ( TrainingData data ) : void
NeuralNet ( NetworkType netType, ICollection layers ) : System
NeuralNet ( NetworkType netType, uint numLayers ) : System
NeuralNet ( NeuralNet other ) : System
NeuralNet ( float connectionRate, ICollection layers ) : System
NeuralNet ( float connectionRate, uint numLayers ) : System
NeuralNet ( string filename ) : System
PrintConnections ( ) : void
PrintError ( ) : void
PrintParameters ( ) : void
RandomizeWeights ( int minWeight, int maxWeight ) : void
ResetErrno ( ) : void
ResetErrstr ( ) : void
ResetMSE ( ) : void
Run ( DataAccessor input ) : int[]
Run ( int input ) : int[]
Save ( string file ) : bool
SaveToFixed ( string file ) : int
SetActivationFunction ( ActivationFunction function, int layer, int neuron ) : void
SetActivationFunctionLayer ( ActivationFunction function, int layer ) : void
SetActivationSteepness ( int steepness, int layer, int neuron ) : void
SetActivationSteepnessLayer ( int steepness, int layer ) : void
SetWeight ( uint fromNeuron, uint toNeuron, int weight ) : void
Test ( int input, int desiredOutput ) : int[]
TestData ( TrainingData data ) : float

Private Methods

Method	Description
NeuralNet ( neural_net other ) : System

Method Details

DisableSeedRand() public method

public DisableSeedRand ( ) : void
return	void

Dispose() public method

public Dispose ( ) : void
return	void

EnableSeedRand() public method

public EnableSeedRand ( ) : void
return	void

GetActivationFunction() public method

public GetActivationFunction ( int layer, int neuron ) : ActivationFunction
layer	int
neuron	int
return	ActivationFunction

GetActivationSteepness() public method

public GetActivationSteepness ( int layer, int neuron ) : int
layer	int
neuron	int
return	int

InitWeights() public method

public InitWeights ( TrainingData data ) : void
data	TrainingData
return	void

NeuralNet() public method

public NeuralNet ( NetworkType netType, ICollection layers ) : System
netType	NetworkType
layers	ICollection
return	System

NeuralNet() public method

public NeuralNet ( NetworkType netType, uint numLayers ) : System
netType	NetworkType
numLayers	uint
return	System

NeuralNet() public method

public NeuralNet ( NeuralNet other ) : System
other	NeuralNet
return	System

NeuralNet() public method

public NeuralNet ( float connectionRate, ICollection layers ) : System
connectionRate	float
layers	ICollection
return	System

NeuralNet() public method

public NeuralNet ( float connectionRate, uint numLayers ) : System
connectionRate	float
numLayers	uint
return	System

NeuralNet() public method

public NeuralNet ( string filename ) : System
filename	string
return	System

PrintConnections() public method

public PrintConnections ( ) : void
return	void

PrintError() public method

public PrintError ( ) : void
return	void

PrintParameters() public method

public PrintParameters ( ) : void
return	void

RandomizeWeights() public method

public RandomizeWeights ( int minWeight, int maxWeight ) : void
minWeight	int
maxWeight	int
return	void

ResetErrno() public method

public ResetErrno ( ) : void
return	void

ResetErrstr() public method

public ResetErrstr ( ) : void
return	void

ResetMSE() public method

public ResetMSE ( ) : void
return	void

Run() public method

public Run ( DataAccessor input ) : int[]
input	DataAccessor
return	int[]

Run() public method

public Run ( int input ) : int[]
input	int
return	int[]

Save() public method

public Save ( string file ) : bool
file	string
return	bool

SaveToFixed() public method

public SaveToFixed ( string file ) : int
file	string
return	int

SetActivationFunction() public method

public SetActivationFunction ( ActivationFunction function, int layer, int neuron ) : void
function	ActivationFunction
layer	int
neuron	int
return	void

SetActivationFunctionLayer() public method

public SetActivationFunctionLayer ( ActivationFunction function, int layer ) : void
function	ActivationFunction
layer	int
return	void

SetActivationSteepness() public method

public SetActivationSteepness ( int steepness, int layer, int neuron ) : void
steepness	int
layer	int
neuron	int
return	void

SetActivationSteepnessLayer() public method

public SetActivationSteepnessLayer ( int steepness, int layer ) : void
steepness	int
layer	int
return	void

SetWeight() public method

public SetWeight ( uint fromNeuron, uint toNeuron, int weight ) : void
fromNeuron	uint
toNeuron	uint
weight	int
return	void

Test() public method

public Test ( int input, int desiredOutput ) : int[]
input	int
desiredOutput	int
return	int[]

TestData() public method

public TestData ( TrainingData data ) : float
data	TrainingData
return	float