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java.lang.Objectorg.neuroph.core.Layer
org.neuroph.nnet.comp.CompetitiveLayer
public class CompetitiveLayer
Represents layer of competitive neurons, and provides methods for competition. TODO: competitive learning 3. training dw=n(i-w)
Field Summary |
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Fields inherited from class org.neuroph.core.Layer |
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neurons |
Constructor Summary | |
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CompetitiveLayer(int neuronNum,
NeuronProperties neuronProperties)
Create an instance of CompetitiveLayer with the specified number of neurons with neuron properties |
Method Summary | |
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void |
calculate()
Performs calculaton for all neurons in this layer |
int |
getMaxIterations()
Returns the maxIterations setting for this layer |
CompetitiveNeuron |
getWinner()
Returns the winning neuron for this layer |
void |
setMaxIterations(int maxIterations)
Sets max iterations for neurons to compete in this layer |
Methods inherited from class org.neuroph.core.Layer |
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addNeuron, addNeuron, getNeuronAt, getNeurons, getNeuronsCount, getNeuronsIterator, getParentNetwork, indexOf, randomizeWeights, removeNeuron, removeNeuronAt, reset, setNeuron, setParentNetwork |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public CompetitiveLayer(int neuronNum, NeuronProperties neuronProperties)
neuronNum
- neuron number in this layerneuronProperties
- properties for the nurons in this layerMethod Detail |
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public void calculate()
calculate
in class Layer
public CompetitiveNeuron getWinner()
public int getMaxIterations()
public void setMaxIterations(int maxIterations)
maxIterations
- max iterations for neurons to compete in this layer
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