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| Uses of Synapse in org.encog.mathutil.randomize |
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| Methods in org.encog.mathutil.randomize with parameters of type Synapse | |
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void |
FanInRandomizer.randomize(BasicNetwork network,
Synapse synapse)
Randomize a synapse, only randomize those connections that are actually connected. |
void |
BasicRandomizer.randomize(BasicNetwork network,
Synapse synapse)
Randomize a synapse, only randomize those connections that are actually connected. |
| Uses of Synapse in org.encog.neural.networks |
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| Methods in org.encog.neural.networks that return types with arguments of type Synapse | |
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Map<Synapse,NeuralData> |
NeuralOutputHolder.getResult()
|
| Methods in org.encog.neural.networks with parameters of type Synapse | |
|---|---|
void |
BasicNetwork.enableConnection(Synapse synapse,
int fromNeuron,
int toNeuron,
boolean enable)
Enable, or disable, a connection. |
boolean |
BasicNetwork.isConnected(Synapse synapse,
int fromNeuron,
int toNeuron)
Determine if the specified connection is enabled. |
| Uses of Synapse in org.encog.neural.networks.layers |
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| Methods in org.encog.neural.networks.layers that return types with arguments of type Synapse | |
|---|---|
List<Synapse> |
Layer.getNext()
Get a list of all of the outbound synapse connections from this layer. |
List<Synapse> |
BasicLayer.getNext()
|
| Methods in org.encog.neural.networks.layers with parameters of type Synapse | |
|---|---|
void |
Layer.addSynapse(Synapse synapse)
This method adds a synapse to the neural network. |
void |
BasicLayer.addSynapse(Synapse synapse)
Add a synapse to the list of outbound synapses. |
| Uses of Synapse in org.encog.neural.networks.logic |
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| Methods in org.encog.neural.networks.logic that return Synapse | |
|---|---|
Synapse |
ThermalLogic.getThermalSynapse()
|
| Methods in org.encog.neural.networks.logic with parameters of type Synapse | |
|---|---|
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 Synapse in org.encog.neural.networks.structure |
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| Methods in org.encog.neural.networks.structure that return Synapse | |
|---|---|
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. |
| Methods in org.encog.neural.networks.structure that return types with arguments of type Synapse | |
|---|---|
List<Synapse> |
NeuralStructure.getPreviousSynapses(Layer targetLayer)
Get the previous synapses. |
List<Synapse> |
NeuralStructure.getSynapses()
|
| Methods in org.encog.neural.networks.structure with parameters of type Synapse | |
|---|---|
int |
SynapseComparator.compare(Synapse synapse1,
Synapse synapse2)
Compare two layers. |
| Uses of Synapse in org.encog.neural.networks.synapse |
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| Classes in org.encog.neural.networks.synapse that implement Synapse | |
|---|---|
class |
BasicSynapse
An abstract class that implements basic functionality that may be needed by the other synapse classes. |
class |
DirectSynapse
A direct synapse will present the entire input array to each of the directly connected neurons in the next layer. |
class |
OneToOneSynapse
A one-to-one synapse requires that the from and to layers have exactly the same number of neurons. |
class |
WeightedSynapse
A fully-connected weight based synapse. |
class |
WeightlessSynapse
A fully connected synapse that simply sums all input to each neuron, no weights are applied. |
| Uses of Synapse in org.encog.neural.networks.synapse.neat |
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| Classes in org.encog.neural.networks.synapse.neat that implement Synapse | |
|---|---|
class |
NEATSynapse
Implements a NEAT network as a synapse between two layers. |
| Uses of Synapse in org.encog.neural.networks.training.competitive |
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| Methods in org.encog.neural.networks.training.competitive with parameters of type Synapse | |
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int |
BestMatchingUnit.calculateBMU(Synapse synapse,
NeuralData input)
Calculate the best matching unit (BMU). |
double |
BestMatchingUnit.calculateEuclideanDistance(Synapse synapse,
NeuralData input,
int outputNeuron)
Calculate the Euclidean distance for the specified output neuron and the input vector. |
| Uses of Synapse in org.encog.neural.networks.training.cpn |
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| Methods in org.encog.neural.networks.training.cpn that return Synapse | |
|---|---|
Synapse |
FindCPN.getInstarSynapse()
|
Synapse |
FindCPN.getOutstarSynapse()
|
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