jhpro.nnet.jknnl
Class WTMLearningFunctionWithTired
- java.lang.Object
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- jhpro.nnet.jknnl.WTMLearningFunction
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- jhpro.nnet.jknnl.WTMLearningFunctionWithTired
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public class WTMLearningFunctionWithTired extends WTMLearningFunction
WTMLearningFunctionWithTired class - learning class used to learn neuron with tiredness
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Constructor Summary
Constructors Constructor and Description WTMLearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel, NeighbourhoodFunctionModel neighboorhoodFunction)Creates a new instance of WTMLearningFunction
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description intgetBestNeuron(double[] vector)Return number of best neuron for specified input vector.-
Methods inherited from class jhpro.nnet.jknnl.WTMLearningFunction
changeWeight, getFunctionalModel, getLearningData, getMaxIteration, getMetrics, getNeighboorhoodFunction, getNetworkModel, isShowComments, learn, setFunctionalModel, setLearningData, setMaxIteration, setMetrics, setNeighboorhoodFunction, setNetworkModel, setShowComments
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Constructor Detail
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WTMLearningFunctionWithTired
public WTMLearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel, NeighbourhoodFunctionModel neighboorhoodFunction)
Creates a new instance of WTMLearningFunction- Parameters:
networkModel- reference to network ModelmaxIteration- max number of iterationmetrics- reference to metricslearningData- reference to learning datafunctionalModel- reference to functional ModelneighboorhoodFunction- reference to Neighborhood Function
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Method Detail
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getBestNeuron
public int getBestNeuron(double[] vector)
Return number of best neuron for specified input vector. Tiredness for all neurons increase- Overrides:
getBestNeuronin classWTMLearningFunction- Parameters:
vector- input vector- Returns:
- NeuronModelnumber
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