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Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic |
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Methods in net.sourceforge.cilib.neuralnetwork.generic that return NeuronConfig | |
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NeuronConfig |
StandardLayerIterator.value()
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NeuronConfig |
LayerIterator.value()
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Methods in net.sourceforge.cilib.neuralnetwork.generic that return types with arguments of type NeuronConfig | |
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ArrayList<NeuronConfig> |
GenericTopology.getLayer(int index)
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Constructor parameters in net.sourceforge.cilib.neuralnetwork.generic with type arguments of type NeuronConfig | |
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StandardLayerIterator(ArrayList<NeuronConfig> layer)
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Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.datacontainers |
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Methods in net.sourceforge.cilib.neuralnetwork.generic.datacontainers with parameters of type NeuronConfig | |
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protected double |
SAILARealData.normalisedOSVector(NeuronConfig ok)
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Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.neuron |
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Subclasses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.neuron | |
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class |
BiasNeuronConfig
TODO: Complete this javadoc. |
class |
DotProductNeuronConfig
TODO: Complete this javadoc. |
class |
MNNNeuronAdapter
TODO: Complete this javadoc. |
Methods in net.sourceforge.cilib.neuralnetwork.generic.neuron that return NeuronConfig | |
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NeuronConfig[] |
NeuronConfig.getInput()
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Methods in net.sourceforge.cilib.neuralnetwork.generic.neuron with parameters of type NeuronConfig | |
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Type |
DotProductNeuronConfig.computeOutput(NeuronConfig n,
NNPattern p)
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abstract Type |
NeuronConfig.computeOutput(NeuronConfig n,
NNPattern p)
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Type |
BiasNeuronConfig.computeOutput(NeuronConfig n,
NNPattern p)
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Type |
MNNNeuronAdapter.computeOutput(NeuronConfig n,
NNPattern p)
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void |
NeuronConfig.setInput(NeuronConfig[] input)
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Constructors in net.sourceforge.cilib.neuralnetwork.generic.neuron with parameters of type NeuronConfig | |
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BiasNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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DotProductNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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NeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.topologybuilders |
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Methods in net.sourceforge.cilib.neuralnetwork.generic.topologybuilders that return types with arguments of type NeuronConfig | |
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abstract ArrayList<ArrayList<NeuronConfig>> |
GenericTopologyBuilder.createLayerList()
Assemble the Neural Network |
ArrayList<ArrayList<NeuronConfig>> |
FFNNgenericTopologyBuilder.createLayerList()
Assemble the Neural Network |
ArrayList<ArrayList<NeuronConfig>> |
InputOutputGenericTopologyBuilder.createLayerList()
Assemble the Neural Network |
Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.topologyvisitors |
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Methods in net.sourceforge.cilib.neuralnetwork.generic.topologyvisitors with parameters of type NeuronConfig | |
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void |
SpecificWeightInitialiser.visitNeuronConfig(NeuronConfig n)
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void |
WeightExtractingVisitor.visitNeuronConfig(NeuronConfig n)
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void |
RandomWeightInitialiser.visitNeuronConfig(NeuronConfig n)
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void |
GenericTopologyVisitor.visitNeuronConfig(NeuronConfig n)
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void |
WeightCountingVisitor.visitNeuronConfig(NeuronConfig n)
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void |
FanInWeightInitialiser.visitNeuronConfig(NeuronConfig n)
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Uses of NeuronConfig in net.sourceforge.cilib.neuralnetwork.generic.trainingstrategies |
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Methods in net.sourceforge.cilib.neuralnetwork.generic.trainingstrategies with parameters of type NeuronConfig | |
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void |
FFNN_GD_TrainingStrategy.updateFanInWeights(NeuronConfig n,
Type delta)
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