Uses of Interface
org.encog.neural.networks.layers.Layer

Packages that use Layer

org.encog.neural.networks
org.encog.neural.networks.layers
org.encog.neural.networks.logic
org.encog.neural.networks.structure
org.encog.neural.networks.synapse
org.encog.neural.networks.synapse.neat
org.encog.neural.networks.training.cpn
org.encog.neural.prune

Uses of Layer in org.encog.neural.networks

Methods in org.encog.neural.networks that return Layer

Layer

BasicNetwork.getLayer(String tag) Get the layer specified by the tag.

Methods in org.encog.neural.networks that return types with arguments of type Layer

Map<String,Layer>

BasicNetwork.getLayerTags()

Methods in org.encog.neural.networks with parameters of type Layer

void	Network.addLayer(Layer layer) Add a layer to the neural network.
void	BasicNetwork.addLayer(Layer layer) Add a layer to the neural network.
void	Network.addLayer(Layer layer, SynapseType type) Add a layer to the neural network.
void	BasicNetwork.addLayer(Layer layer, SynapseType type) Add a layer to the neural network.
Collection<String>	BasicNetwork.getTags(Layer layer) Get a list of all of the tags on a specific layer.
void	BasicNetwork.tagLayer(String tag, Layer layer) Tag a layer.

Uses of Layer in org.encog.neural.networks.layers

Classes in org.encog.neural.networks.layers that implement Layer

class	BasicLayer Basic functionality that most of the neural layers require.
class	ContextLayer Implements a context layer.
class	RadialBasisFunctionLayer This layer type makes use of several radial basis function to scale the output from this layer.

Methods in org.encog.neural.networks.layers that return types with arguments of type Layer

Collection<Layer>	Layer.getNextLayers()
Collection<Layer>	BasicLayer.getNextLayers()

Methods in org.encog.neural.networks.layers with parameters of type Layer

void	Layer.addNext(Layer next) Add a layer to this layer.
void	BasicLayer.addNext(Layer next) Add a layer as the next layer.
void	Layer.addNext(Layer next, SynapseType type) Add a layer to this layer.
void	BasicLayer.addNext(Layer next, SynapseType type)
int	BasicLayer.compareTo(Layer other)
boolean	Layer.isConnectedTo(Layer layer) Determine if this layer is connected to another.
boolean	BasicLayer.isConnectedTo(Layer layer) Determine if this layer is connected to another layer.

Uses of Layer in org.encog.neural.networks.logic

Methods in org.encog.neural.networks.logic that return Layer

Layer

ThermalLogic.getThermalLayer()

Methods in org.encog.neural.networks.logic with parameters of type Layer

void	SimpleRecurrentLogic.preprocessLayer(Layer layer, NeuralData input, Synapse source) Handle recurrent layers.
void	FeedforwardLogic.preprocessLayer(Layer layer, NeuralData input, Synapse source) Can be overridden by subclasses.

Uses of Layer in org.encog.neural.networks.structure

Methods in org.encog.neural.networks.structure that return types with arguments of type Layer

List<Layer>	NeuralStructure.getLayers()
Collection<Layer>	NeuralStructure.getPreviousLayers(Layer targetLayer) Get the previous layers from the specified layer.

Methods in org.encog.neural.networks.structure with parameters of type Layer

void	NeuralStructure.assignID(Layer layer) Assign an ID to the specified layer.
int	LayerComparator.compare(Layer layer1, Layer layer2) Compare two layers.
boolean	LayerComparator.equal(Layer layer1, Layer layer2) Determine if two layers are equal.
Synapse	NeuralStructure.findNextSynapseByLayerType(Layer layer, Class<? extends Layer> type) Find the next synapse by layer type.
Synapse	NeuralStructure.findPreviousSynapseByLayerType(Layer layer, Class<? extends Layer> type) Find previous synapse by layer type.
Synapse	NeuralStructure.findSynapse(Layer fromLayer, Layer toLayer, boolean required) Find the specified synapse, throw an error if it is required.
int	CalculateDepth.getDepth(Layer layer) Get the depth for a specific layer.
Collection<Layer>	NeuralStructure.getPreviousLayers(Layer targetLayer) Get the previous layers from the specified layer.
List<Synapse>	NeuralStructure.getPreviousSynapses(Layer targetLayer) Get the previous synapses.
List<String>	NeuralStructure.nameLayer(Layer layer) Obtain a name for the specified layer.

Method parameters in org.encog.neural.networks.structure with type arguments of type Layer

Synapse	NeuralStructure.findNextSynapseByLayerType(Layer layer, Class<? extends Layer> type) Find the next synapse by layer type.
Synapse	NeuralStructure.findPreviousSynapseByLayerType(Layer layer, Class<? extends Layer> type) Find previous synapse by layer type.

Uses of Layer in org.encog.neural.networks.synapse

Methods in org.encog.neural.networks.synapse that return Layer

Layer	Synapse.getFromLayer()
Layer	BasicSynapse.getFromLayer()
Layer	Synapse.getToLayer()
Layer	BasicSynapse.getToLayer()

Methods in org.encog.neural.networks.synapse with parameters of type Layer

void	Synapse.setFromLayer(Layer fromLayer) Set the from layer for this synapse.
void	BasicSynapse.setFromLayer(Layer fromLayer) Set the from layer for this synapse.
void	Synapse.setToLayer(Layer toLayer) Set the target layer from this synapse.
void	BasicSynapse.setToLayer(Layer toLayer) Set the target layer from this synapse.

Constructors in org.encog.neural.networks.synapse with parameters of type Layer

DirectSynapse(Layer fromLayer, Layer toLayer)
Construct a direct synapse between the two specified layers.

OneToOneSynapse(Layer fromLayer, Layer toLayer)
Construct a one-to-one synapse between the two layers.

WeightedSynapse(Layer fromLayer, Layer toLayer)
Construct a weighted synapse between the two layers.

WeightlessSynapse(Layer fromLayer, Layer toLayer)
Construct a weighted synapse between the two layers.

Uses of Layer in org.encog.neural.networks.synapse.neat

Methods in org.encog.neural.networks.synapse.neat that return Layer

Layer	NEATSynapse.getFromLayer()
Layer	NEATSynapse.getToLayer()

Methods in org.encog.neural.networks.synapse.neat with parameters of type Layer

void	NEATSynapse.setFromLayer(Layer fromLayer) Set the from layer for this synapse.
void	NEATSynapse.setToLayer(Layer toLayer) Set the target layer from this synapse.

Constructors in org.encog.neural.networks.synapse.neat with parameters of type Layer

NEATSynapse(Layer fromLayer, Layer toLayer)
Construct a NEAT synapse.

Uses of Layer in org.encog.neural.networks.training.cpn

Methods in org.encog.neural.networks.training.cpn that return Layer

Layer	FindCPN.getInputLayer()
Layer	FindCPN.getInstarLayer()
Layer	FindCPN.getOutstarLayer()

Uses of Layer in org.encog.neural.prune

Methods in org.encog.neural.prune with parameters of type Layer

void	PruneSelective.changeNeuronCount(Layer layer, int neuronCount) Change the neuron count for the network.
double	PruneSelective.determineNeuronSignificance(Layer layer, int neuron) Determine the significance of the neuron.
void	PruneSelective.prune(Layer targetLayer, int neuron) Prune one of the neurons from this layer.
void	PruneSelective.stimulateNeuron(double percent, Layer layer, int neuron) Stimulate the specified neuron by the specified percent.
void	PruneSelective.stimulateWeakNeurons(Layer layer, int count, double percent) Stimulate weaker neurons on a layer.