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Packages that use TransferFunctionType | |
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org.neuroph.nnet | This package provides out-of-the-box neural networks |
org.neuroph.util | This package provides various utility classes for creating neural networks, type codes, parsing vectors, etc. |
Uses of TransferFunctionType in org.neuroph.nnet |
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Methods in org.neuroph.nnet with parameters of type TransferFunctionType | |
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private void |
UnsupervisedHebbianNetwork.createNetwork(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 |
private void |
SupervisedHebbianNetwork.createNetwork(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates an instance of Supervised Hebbian Network with specified number of neurons in input layer, output layer and transfer function |
private void |
Perceptron.createNetwork(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates perceptron architecture with specified number of neurons in input and output layer, specified transfer function |
Constructors in org.neuroph.nnet with parameters of type TransferFunctionType | |
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MultiLayerPerceptron(java.util.Vector<java.lang.Integer> neuronsInLayers,
TransferFunctionType transferFunctionType)
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Perceptron(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates new Perceptron with specified number of neurons in input and output layer, and specified transfer function |
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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 |
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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 |
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Methods in org.neuroph.util that return TransferFunctionType | |
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static TransferFunctionType |
TransferFunctionType.valueOf(java.lang.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 | |
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static Layer |
LayerFactory.createLayer(int neuronsNum,
TransferFunctionType transferFunctionType)
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static MultiLayerPerceptron |
NeuralNetworkFactory.createMLPerceptron(java.lang.String layersStr,
TransferFunctionType transferFunctionType)
Creates and returns an instance of Multi Layer Perceptron |
static Perceptron |
NeuralNetworkFactory.createPerceptron(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates and returns an instance of Perceptron network |
static SupervisedHebbianNetwork |
NeuralNetworkFactory.createSupervisedHebbian(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates and returns an instance of Hebbian network |
static UnsupervisedHebbianNetwork |
NeuralNetworkFactory.createUnsupervisedHebbian(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates and returns an instance of Unsupervised Hebbian Network |
void |
NeuronProperties.setProperty(java.lang.String key,
TransferFunctionType value)
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Constructors in org.neuroph.util with parameters of type TransferFunctionType | |
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NeuronProperties(TransferFunctionType transferFunctionType)
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NeuronProperties(WeightsFunctionType weightsFunctionType,
SummingFunctionType summingFunctionType,
TransferFunctionType transferFunctionType)
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