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Uses of Weight in net.sourceforge.cilib.neuralnetwork.generic |
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Methods in net.sourceforge.cilib.neuralnetwork.generic that return Weight | |
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Weight |
Weight.getClone()
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Uses of Weight in net.sourceforge.cilib.neuralnetwork.generic.neuron |
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Methods in net.sourceforge.cilib.neuralnetwork.generic.neuron that return Weight | |
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Weight[] |
NeuronConfig.getInputWeights()
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Weight |
NeuronConfig.getPatternWeight()
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Methods in net.sourceforge.cilib.neuralnetwork.generic.neuron with parameters of type Weight | |
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void |
NeuronConfig.setInputWeights(Weight[] inputWeights)
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void |
NeuronConfig.setPatternWeight(Weight patternWeight)
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Constructors in net.sourceforge.cilib.neuralnetwork.generic.neuron with parameters of type Weight | |
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BiasNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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BiasNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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DotProductNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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DotProductNeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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NeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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NeuronConfig(NeuronConfig[] input,
Weight[] inputWeights,
boolean[] timeStepMap,
int patternInput,
Weight patternWeight,
Type initialOutput)
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Uses of Weight in net.sourceforge.cilib.neuralnetwork.generic.topologybuilders |
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Fields in net.sourceforge.cilib.neuralnetwork.generic.topologybuilders declared as Weight | |
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protected Weight |
FFNNgenericTopologyBuilder.prototypeWeight
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Methods in net.sourceforge.cilib.neuralnetwork.generic.topologybuilders with parameters of type Weight | |
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void |
FFNNgenericTopologyBuilder.setPrototypeWeight(Weight pw)
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Uses of Weight in net.sourceforge.cilib.neuralnetwork.generic.trainingstrategies |
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Method parameters in net.sourceforge.cilib.neuralnetwork.generic.trainingstrategies with type arguments of type Weight | |
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Type |
ErrorSignal.computeRecursiveDelta(Type outputFunctionDerivative,
TypeList delta,
ArrayList<Weight> w,
Type output)
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Type |
SquaredErrorFunction.computeRecursiveDelta(Type outputFunctionDerivative,
TypeList delta,
ArrayList<Weight> w,
Type output)
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