Uses of Interface
activationFunction.ActivationFunctionModel

Packages that use ActivationFunctionModel

activationFunction
network

Uses of ActivationFunctionModel in activationFunction

Classes in activationFunction that implement ActivationFunctionModel

class	HardLimitActivationFunction Hard Limit Activation Funciton return 1 if input value is greater then threshold and 0 otherwise.
class	LinearActivationFunction Linear Activation Function return value calculated by function describe as y = a * x + b. where: a, b - parameters of linear function x - input value
class	SymetricHardLimitActivationFunction Symetric Hard Limit function return 1 if input value is greater then threshold and -1 otherwise.
class	TransparentActivationFunction Transparent activation function return input value without any changes.

Uses of ActivationFunctionModel in network

Methods in network that return ActivationFunctionModel

ActivationFunctionModel	DefaultNeuronWithBias.getActivationFunction() Return reference to activation function
ActivationFunctionModel	DefaultNeuron.getActivationFunction() Return reference to activation function

Methods in network with parameters of type ActivationFunctionModel

void	DefaultNeuronWithBias.setActivationFunction(ActivationFunctionModel activationFunction) Set activation function
void	DefaultNeuron.setActivationFunction(ActivationFunctionModel activationFunction) Set activation function

Constructors in network with parameters of type ActivationFunctionModel

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

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

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

KohonenNeuron(double[] weightArray, ActivationFunctionModel activationFunction)
Creates new neuron with weight specyfied by array and specified activation funciton.

KohonenNeuron(int weightNumber, double[] maxWeight, ActivationFunctionModel activationFunction)
Creates new neuron with specyfied numbers of weight.

KohonenNeuronWithTired(double[] weightArray, ActivationFunctionModel activationFunction)
Creates new kohonen neuron with weight specyfied by array and specified activation funciton.

KohonenNeuronWithTired(int weightNumber, double[] maxWeight, ActivationFunctionModel activationFunction)
Creates new kohonen neuron with specyfied numbers of weight.