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Neuroph | |||||||||
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Packages that use NeuralNetwork | |
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org.neuroph.contrib | Provides various contributions from the Neuroph community. |
org.neuroph.contrib.imgrec | Provides classes for image recognition with neural networks. |
org.neuroph.core | Provides base classes and basic building components for neural networks. |
org.neuroph.core.learning | Provides base classes for neural network learning algorithms. |
org.neuroph.nnet | Provides out-of-the-box neural networks |
org.neuroph.nnet.learning | Provides implementations of specific neural network learning algorithms. |
org.neuroph.samples | Provides some basic examples of how to use Neuroph. |
org.neuroph.util | Provides various utility classes for creating neural networks, type codes, parsing vectors, etc. |
org.neuroph.util.plugins | Provides various plugins for neural networks. |
Uses of NeuralNetwork in org.neuroph.contrib |
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Subclasses of NeuralNetwork in org.neuroph.contrib | |
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class |
IACNetwork
Interactive Activation Controller neural network. |
class |
RecommenderNetwork
E-commerce recommender neural network based on hebbian learning. |
Uses of NeuralNetwork in org.neuroph.contrib.imgrec |
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Methods in org.neuroph.contrib.imgrec that return NeuralNetwork | |
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static NeuralNetwork |
ImageRecognitionHelper.createNewNeuralNetwork(java.lang.String label,
java.awt.Dimension samplingResolution,
ColorMode colorMode,
java.util.List<java.lang.String> imageLabels,
java.util.Vector<java.lang.Integer> layersNeuronsCount,
TransferFunctionType transferFunctionType)
Creates and returns new neural network for image recognition. |
Uses of NeuralNetwork in org.neuroph.core |
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Methods in org.neuroph.core that return NeuralNetwork | |
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NeuralNetwork |
Layer.getParentNetwork()
Returns reference to parent network |
static NeuralNetwork |
NeuralNetwork.load(java.lang.String filePath)
Loads neural network from the specified file. |
Methods in org.neuroph.core with parameters of type NeuralNetwork | |
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void |
Layer.setParentNetwork(NeuralNetwork parent)
Sets reference on parent network |
Uses of NeuralNetwork in org.neuroph.core.learning |
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Fields in org.neuroph.core.learning declared as NeuralNetwork | |
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protected NeuralNetwork |
LearningRule.neuralNetwork
Neural network to train |
Methods in org.neuroph.core.learning that return NeuralNetwork | |
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NeuralNetwork |
LearningRule.getNeuralNetwork()
Gets neural network |
Methods in org.neuroph.core.learning with parameters of type NeuralNetwork | |
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void |
LearningRule.setNeuralNetwork(NeuralNetwork neuralNetwork)
Sets neural network for this learning rule |
Constructors in org.neuroph.core.learning with parameters of type NeuralNetwork | |
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IterativeLearning(NeuralNetwork network)
Creates new instannce of IterativeLearning learning algorithm for the specified neural network. |
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LearningRule(NeuralNetwork network)
Sets neural network for this learning rule |
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SupervisedLearning(NeuralNetwork network)
Creates new supervised learning rule and sets the neural network to train |
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UnsupervisedLearning(NeuralNetwork neuralNetwork)
Creates new unsupervised learning rule and sets the neural network to train |
Uses of NeuralNetwork in org.neuroph.nnet |
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Subclasses of NeuralNetwork in org.neuroph.nnet | |
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class |
Adaline
Adaline neural network architecture with LMS learning rule. |
class |
BAM
Bidirectional Associative Memory |
class |
CompetitiveNetwork
Two layer neural network with competitive learning rule. |
class |
Hopfield
Hopfield neural network. |
class |
Instar
Instar neural network with Instar learning rule. |
class |
Kohonen
Kohonen neural network. |
class |
MaxNet
Max Net neural network with competitive learning rule. |
class |
MultiLayerPerceptron
Multi Layer Perceptron neural network with Back propagation learning algorithm. |
class |
NeuroFuzzyPerceptron
The NeuroFuzzyReasoner class represents Neuro Fuzzy Reasoner architecture. |
class |
Outstar
Outstar neural network with Outstar learning rule. |
class |
Perceptron
Perceptron neural network with some LMS based learning algorithm. |
class |
RbfNetwork
Radial basis function neural network. |
class |
SupervisedHebbianNetwork
Hebbian neural network with supervised Hebbian learning algorithm. |
class |
UnsupervisedHebbianNetwork
Hebbian neural network with unsupervised Hebbian learning algorithm. |
Methods in org.neuroph.nnet that return NeuralNetwork | |
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NeuralNetwork |
ModularNetwork.getNetwork(java.lang.String label)
Gets neural network |
Methods in org.neuroph.nnet with parameters of type NeuralNetwork | |
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void |
ModularNetwork.addNetwork(NeuralNetwork neuralNet)
Adds neural network |
Uses of NeuralNetwork in org.neuroph.nnet.learning |
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Constructors in org.neuroph.nnet.learning with parameters of type NeuralNetwork | |
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BackPropagation(NeuralNetwork neuralNetwork)
Creates new instance of BackPropagation learning for the specified neural network |
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BinaryHebbianLearning(NeuralNetwork neuralNetwork)
Creates new instance of BinaryHebbianLearning for the specified neural network |
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CompetitiveLearning(NeuralNetwork neuralNetwork)
Creates new instance of CompetitiveLearning for the specified neural network |
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HopfieldLearning(NeuralNetwork neuralNetwork)
Creates new HopfieldLearning for the specified neural network |
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InstarLearning(NeuralNetwork neuralNetwork)
Creates new instance of InstarLearning algorithm for the specified neural network. |
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LMS(NeuralNetwork neuralNetwork)
Creates new LMS learning rule for specified neural network |
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MomentumBackpropagation(NeuralNetwork neuralNetwork)
Creates new instance of MomentumBackpropagation learning for the specified neural network |
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OjaLearning(NeuralNetwork neuralNetwork)
Creates an instance of OjaLearning algorithm for the specified neural network |
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OutstarLearning(NeuralNetwork neuralNetwork)
Creates new instance of OutstarLearning algorithm for the specified neural network. |
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SigmoidDeltaRule(NeuralNetwork neuralNetwork)
Creates new SigmoidDeltaRule for the specified neural network |
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StepDeltaRule(NeuralNetwork neuralNetwork)
Creates new StepDeltaRule learning for the specified neural network |
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SupervisedHebbianLearning(NeuralNetwork neuralNetwork)
Creates new instance of SupervisedHebbianLearning algorithm for the specified neural network. |
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UnsupervisedHebbianLearning(NeuralNetwork neuralNetwork)
Creates an instance of UnsupervisedHebbianLearning algorithm for the specified neural network |
Uses of NeuralNetwork in org.neuroph.samples |
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Methods in org.neuroph.samples with parameters of type NeuralNetwork | |
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static void |
PerceptronSample.testNeuralNetwork(NeuralNetwork neuralNet,
TrainingSet trainingSet)
Prints network output for the each element from the specified training set. |
static void |
XorMultiLayerPerceptronSample.testNeuralNetwork(NeuralNetwork neuralNet,
TrainingSet trainingSet)
Prints network output for the each element from the specified training set. |
Uses of NeuralNetwork in org.neuroph.util |
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Methods in org.neuroph.util with parameters of type NeuralNetwork | |
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static void |
NeuralNetworkFactory.setDefaultIO(NeuralNetwork nnet)
Sets default input and output neurons for network (first layer as input, last as output) |
Uses of NeuralNetwork in org.neuroph.util.plugins |
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Methods in org.neuroph.util.plugins that return NeuralNetwork | |
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NeuralNetwork |
PluginBase.getParentNetwork()
Returns the parent network for this plugin |
Methods in org.neuroph.util.plugins with parameters of type NeuralNetwork | |
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void |
PluginBase.setParentNetwork(NeuralNetwork parentNetwork)
Sets the parent network for this plugin |
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