Uses of Class
org.neuroph.util.TransferFunctionType

Packages that use TransferFunctionType

Package	Description
org.neuroph.nnet	Provides out-of-the-box neural networks
org.neuroph.util	Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.

Uses of TransferFunctionType in org.neuroph.nnet

Constructors in org.neuroph.nnet with parameters of type TransferFunctionType

Constructor and Description
MultiLayerPerceptron(List<Integer> neuronsInLayers, TransferFunctionType transferFunctionType)
MultiLayerPerceptron(TransferFunctionType transferFunctionType, int... neuronsInLayers)
Perceptron(int inputNeuronsCount, int outputNeuronsCount, TransferFunctionType transferFunctionType) Creates new Perceptron with specified number of neurons in input and output layer, and specified transfer function
SupervisedHebbianNetwork(int inputNeuronsNum, int outputNeuronsNum, TransferFunctionType transferFunctionType) Creates an instance of Supervised Hebbian Network with specified number of neurons in input layer and output layer, and transfer function
UnsupervisedHebbianNetwork(int inputNeuronsNum, int outputNeuronsNum, TransferFunctionType transferFunctionType) Creates an instance of Unsuervised Hebian net with specified number of neurons in input layer and output layer, and transfer function

Uses of TransferFunctionType in org.neuroph.util

Methods in org.neuroph.util that return TransferFunctionType

Modifier and Type	Method and Description
static TransferFunctionType	TransferFunctionType.valueOf(String name) Returns the enum constant of this type with the specified name.
static TransferFunctionType[]	TransferFunctionType.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.neuroph.util with parameters of type TransferFunctionType

Modifier and Type	Method and Description
static Layer	LayerFactory.createLayer(int neuronsCount, TransferFunctionType transferFunctionType)
static MultiLayerPerceptron	NeuralNetworkFactory.createMLPerceptron(String layersStr, TransferFunctionType transferFunctionType) Creates and returns a new instance of Multi Layer Perceptron
static MultiLayerPerceptron	NeuralNetworkFactory.createMLPerceptron(String layersStr, TransferFunctionType transferFunctionType, Class learningRule, boolean useBias, boolean connectIO) Creates and returns a new instance of Multi Layer Perceptron
static Perceptron	NeuralNetworkFactory.createPerceptron(int inputNeuronsCount, int outputNeuronsCount, TransferFunctionType transferFunctionType) Creates and returns a new instance of Perceptron network
static Perceptron	NeuralNetworkFactory.createPerceptron(int inputNeuronsCount, int outputNeuronsCount, TransferFunctionType transferFunctionType, Class learningRule) Creates and returns a new instance of Perceptron network
static SupervisedHebbianNetwork	NeuralNetworkFactory.createSupervisedHebbian(int inputNeuronsCount, int outputNeuronsCount, TransferFunctionType transferFunctionType) Creates and returns a new instance of Hebbian network
static UnsupervisedHebbianNetwork	NeuralNetworkFactory.createUnsupervisedHebbian(int inputNeuronsCount, int outputNeuronsCount, TransferFunctionType transferFunctionType) Creates and returns a new instance of Unsupervised Hebbian Network

Constructors in org.neuroph.util with parameters of type TransferFunctionType

Constructor and Description
NeuronProperties(Class<? extends Neuron> neuronClass, TransferFunctionType transferFunctionType)
NeuronProperties(TransferFunctionType transferFunctionType, boolean useBias)