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Packages that use NeuralNetwork | |
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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.util | Provides various utility classes for creating neural networks, type codes, parsing vectors, etc. |
org.neuroph.util.io | Provides input/output adapters for file, JDBC, URL, stream |
org.neuroph.util.plugins | Provides various plugins for neural networks. |
org.neuroph.util.random | Provides weights randomization techniques |
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(InputStream inputStream)
Loads neural network from the specified InputStream. |
static NeuralNetwork |
NeuralNetwork.load(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 |
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. |
Uses of NeuralNetwork in org.neuroph.nnet.learning |
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Fields in org.neuroph.nnet.learning declared as NeuralNetwork | |
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protected NeuralNetwork |
SimulatedAnnealingLearning.network
The neural network that is to be trained. |
Methods in org.neuroph.nnet.learning that return NeuralNetwork | |
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NeuralNetwork |
SimulatedAnnealingLearning.getNetwork()
Get the best network from the training. |
Methods in org.neuroph.nnet.learning with parameters of type NeuralNetwork | |
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void |
KohonenLearning.setNeuralNetwork(NeuralNetwork neuralNetwork)
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Constructors in org.neuroph.nnet.learning with parameters of type NeuralNetwork | |
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SimulatedAnnealingLearning(NeuralNetwork network)
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SimulatedAnnealingLearning(NeuralNetwork network,
double startTemp,
double stopTemp,
int cycles)
Construct a simulated annleaing trainer for a feedforward neural network. |
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 |
NeuralNetworkCODEC.array2network(double[] array,
NeuralNetwork network)
Decode a network from an array. |
static int |
NeuralNetworkCODEC.determineArraySize(NeuralNetwork network)
Determine the array size for the given neural network. |
static void |
NeuralNetworkCODEC.network2array(NeuralNetwork network,
double[] array)
Encode a network to an array. |
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.io |
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Methods in org.neuroph.util.io with parameters of type NeuralNetwork | |
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static void |
IOHelper.process(NeuralNetwork neuralNet,
InputAdapter in,
OutputAdapter out)
Feeds specified neural network with data from InputAdapter and writes output using OutputAdapter |
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 |
Uses of NeuralNetwork in org.neuroph.util.random |
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Methods in org.neuroph.util.random with parameters of type NeuralNetwork | |
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void |
WeightsRandomizer.randomize(NeuralNetwork neuralNetwork)
Iterate all layers, neurons and connections in network, and randomize connection weights |
void |
NguyenWidrowRandomizer.randomize(NeuralNetwork neuralNetwork)
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void |
DistortRandomizer.randomize(NeuralNetwork neuralNetwork)
Iterate all layers, neurons and connection weight and apply distort randomization |
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