public class InputNeuron extends Neuron
Neuron.NormWeightactivationSum, bias, currentNeuronId, id, initialized, inputSynapses, inputSynapsesByWeight, isBlocked, label, LEARN_RATE, lock, m, MAX_SELF_REFERENCING_DEPTH, maxRecurrentSum, negDirSum, negRecSum, node, noTraining, numberOfActivations, outputNodes, outputSynapses, posRecSum, TOLERANCE, WEIGHT_TOLERANCE| Constructor and Description |
|---|
InputNeuron() |
InputNeuron(String label) |
InputNeuron(String label,
boolean isBlocked) |
| Modifier and Type | Method and Description |
|---|---|
void |
addInput(Iteration t,
int begin,
int end) |
void |
addInput(Iteration t,
int begin,
int end,
Integer rid) |
void |
addInput(Iteration t,
int begin,
int end,
Integer rid,
Option o) |
void |
addInput(Iteration t,
int begin,
int end,
Option o) |
static InputNeuron |
create(Iteration t,
InputNeuron n) |
void |
propagateAddedActivation(Iteration t,
Activation act) |
void |
remove(Iteration t) |
void |
removeInput(Iteration t,
int begin,
int end) |
void |
removeInput(Iteration t,
int begin,
int end,
Integer rid) |
void |
removeInput(Iteration t,
int begin,
int end,
Integer rid,
Option o) |
void |
removeInput(Iteration t,
int begin,
int end,
Option o) |
String |
toString() |
avgActivation, compareTo, computeBounds, computeErrorSignal, computeWeight, count, create, propagateRemovedActivation, publish, read, readFields, sigmoid, toStringWithSynapses, train, train, transferFunction, unpublish, writepublic InputNeuron()
public InputNeuron(String label)
public InputNeuron(String label, boolean isBlocked)
public static InputNeuron create(Iteration t, InputNeuron n)
public void propagateAddedActivation(Iteration t, Activation act)
propagateAddedActivation in class Neuronpublic void addInput(Iteration t, int begin, int end)
public void removeInput(Iteration t, int begin, int end)
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