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Functions1,754 in github.com/PacktPublishing/Neural-Network-Programming-with-Java-SecondEdition

⨍ Functions 1,754◇ Types & classes 294
↓ 3 callersMethodgetNeuralColumn
(int i)
Chapter05/data/NeuralOutputData.java:338
↓ 3 callersMethodgetOutputNorm
()
Chapter06/data/NeuralDataSet.java:289
↓ 3 callersMethodgetOutputNorm
()
Chapter05/data/NeuralDataSet.java:288
↓ 3 callersMethodgetStdDevArray
Gets the standard deviation value of an array of real numbers @param data matrix to be normalized @param average value of array @return
Chapter04/data/DataNormalization.java:104
↓ 3 callersMethodgetTargetColumn
(int i)
Chapter06/data/NeuralOutputData.java:306
↓ 3 callersMethodgetTargetColumn
(int i)
Chapter05/data/NeuralOutputData.java:302
↓ 3 callersMethodgetTimePlot
(ChartFrame ref,String title,String[] cols,Paint[] color,double start,double end)
Chapter05/data/TimeSeries.java:61
↓ 3 callersMethodgetWeights
()
Chapter04/som/CompetitiveLayer.java:133
↓ 3 callersMethodgetWeights
()
Chapter06/som/CompetitiveLayer.java:132
↓ 3 callersMethodgetWeights
()
Chapter05/som/CompetitiveLayer.java:133
↓ 3 callersMethodinit
init This method initializes the neuron by setting randomly its weights
Chapter04/Neuron.java:98
↓ 3 callersMethodinit
This method initializes the neuron by setting randomly (uniform distribution between 0.0 and 1.0) its weights
Chapter06/Neuron.java:110
↓ 3 callersMethodinit
init This method initializes the neuron by setting randomly its weights
Chapter03/src/edu/packt/neuralnet/Neuron.java:98
↓ 3 callersMethodinit
init This method initializes the neuron by setting randomly (uniform distribution between 0.0 and 1.0) its weights
Chapter05/Neuron.java:112
↓ 3 callersMethodinitializeDeltaNeuron
()
Chapter04/learn/Backpropagation.java:48
↓ 3 callersMethodinitializeDeltaNeuron
()
Chapter06/learn/Backpropagation.java:53
↓ 3 callersMethodinitializeDeltaNeuron
()
Chapter03/src/edu/packt/neuralnet/learn/Backpropagation.java:48
↓ 3 callersMethodinitializeDeltaNeuron
()
Chapter05/learn/Backpropagation.java:54
↓ 3 callersMethodinitializeJacobian
()
Chapter04/learn/LevenbergMarquardt.java:53
↓ 3 callersMethodinitializeJacobian
()
Chapter06/learn/LevenbergMarquardt.java:52
↓ 3 callersMethodinitializeJacobian
()
Chapter03/src/edu/packt/neuralnet/learn/LevenbergMarquardt.java:53
↓ 3 callersMethodinitializeJacobian
()
Chapter05/learn/LevenbergMarquardt.java:53
↓ 3 callersMethodinitializeLastDeltaWeights
()
Chapter04/learn/Backpropagation.java:68
↓ 3 callersMethodinitializeLastDeltaWeights
()
Chapter06/learn/Backpropagation.java:73
↓ 3 callersMethodinitializeLastDeltaWeights
()
Chapter03/src/edu/packt/neuralnet/learn/Backpropagation.java:68
↓ 3 callersMethodinitializeLastDeltaWeights
()
Chapter05/learn/Backpropagation.java:74
↓ 3 callersMethodinverse
()
Chapter04/math/Matrix.java:469
↓ 3 callersMethodinverse
()
Chapter06/math/Matrix.java:470
↓ 3 callersMethodinverse
()
Chapter03/src/edu/packt/neuralnet/math/Matrix.java:469
↓ 3 callersMethodinverse
()
Chapter05/math/Matrix.java:470
↓ 3 callersMethodmax
Gets the maximum value of an array of real numbers @param data matrix of real numbers @return maximum value of array
Chapter06/math/ArrayOperations.java:28
↓ 3 callersMethodmax
Gets the maximum value of an array of real numbers @param data matrix of real numbers @return maximum value of array
Chapter05/math/ArrayOperations.java:28
↓ 3 callersMethodnormalize
Normalizes data matrix @param data matrix to be normalized @return normalized matrix
Chapter05/data/DataNormalization.java:105
↓ 3 callersMethodprint
print Method to print the neural network information
Chapter02/NeuralNet.java:225
↓ 3 callersMethodsetColumnValues
(double[] _data,String name)
Chapter05/data/DataSet.java:143
↓ 3 callersMethodsetInputOutputNorm
(DataNormalization in,DataNormalization out)
Chapter06/data/NeuralDataSet.java:266
↓ 3 callersMethodsetInputOutputNorm
(DataNormalization in,DataNormalization out)
Chapter05/data/NeuralDataSet.java:265
↓ 3 callersMethodsetLearningRate
(double _learningRate)
Chapter04/som/CompetitiveLearning.java:346
↓ 3 callersMethodsetLearningRate
(double _learningRate)
Chapter06/som/CompetitiveLearning.java:352
↓ 3 callersMethodsetLearningRate
(double _learningRate)
Chapter05/som/CompetitiveLearning.java:356
↓ 3 callersMethodsetMomentumRate
(double _momentumRate)
Chapter04/learn/Backpropagation.java:379
↓ 3 callersMethodsetNeuralLayer
(NeuralLayer _neuralLayer)
Chapter04/Neuron.java:87
↓ 3 callersMethodsetNeuralLayer
setNeuralLayer This method assigns the concerned Neuron to some NeuralLayer @param _neuralLayer the NeuralLayer it should be assigned to this Neuron
Chapter06/Neuron.java:99
↓ 3 callersMethodsetNeuralLayer
(NeuralLayer _neuralLayer)
Chapter03/src/edu/packt/neuralnet/Neuron.java:87
↓ 3 callersMethodsetNeuralLayer
setNeuralLayer This method assigns the concerned Neuron to some NeuralLayer @param _neuralLayer the NeuralLayer it should be assigned to this Neuron
Chapter05/Neuron.java:100
↓ 3 callersMethodsetPlot2DFrame
(ChartFrame frame)
Chapter04/som/CompetitiveLearning.java:300
↓ 3 callersMethodsetPlot2DFrame
(ChartFrame frame)
Chapter06/som/CompetitiveLearning.java:306
↓ 3 callersMethodsetPlot2DFrame
(ChartFrame frame)
Chapter05/som/CompetitiveLearning.java:310
↓ 3 callersMethodsetReferenceEpoch
(int _refEpoch)
Chapter04/som/CompetitiveLearning.java:351
↓ 3 callersMethodsetReferenceEpoch
(int _refEpoch)
Chapter06/som/CompetitiveLearning.java:357
↓ 3 callersMethodsetReferenceEpoch
(int _refEpoch)
Chapter05/som/CompetitiveLearning.java:361
↓ 3 callersMethodsetTestingDataSet
(NeuralDataSet _testingDataSet)
Chapter05/learn/DeltaRule.java:108
↓ 3 callersMethodtest
(int i)
Chapter06/learn/Backpropagation.java:311
↓ 3 callersMethodtrain
()
Chapter04/som/CompetitiveLearning.java:140
↓ 3 callersMethodtrain
()
Chapter04/learn/DeltaRule.java:240
↓ 3 callersMethodtrain
()
Chapter04/learn/Backpropagation.java:154
↓ 3 callersMethodtrain
()
Chapter06/som/CompetitiveLearning.java:135
↓ 3 callersMethodtrain
()
Chapter06/learn/DeltaRule.java:243
↓ 3 callersMethodtrain
()
Chapter03/src/edu/packt/neuralnet/learn/DeltaRule.java:238
↓ 3 callersMethodtrain
()
Chapter05/som/CompetitiveLearning.java:140
↓ 3 callersMethodtrain
()
Chapter05/learn/DeltaRule.java:244
↓ 2 callersMethodGenerateBetween
(double min,double max)
Chapter04/math/RandomNumberGenerator.java:65
↓ 2 callersMethodGenerateBetween
(double min,double max)
Chapter06/math/RandomNumberGenerator.java:67
↓ 2 callersMethodGenerateBetween
(double min,double max)
Chapter03/src/edu/packt/neuralnet/math/RandomNumberGenerator.java:65
↓ 2 callersMethodGenerateBetween
(double min,double max)
Chapter05/math/RandomNumberGenerator.java:67
↓ 2 callersMethodGenerateGaussian
(double mean,double stdev)
Chapter04/math/RandomNumberGenerator.java:73
↓ 2 callersMethodGenerateGaussian
(double mean,double stdev)
Chapter06/math/RandomNumberGenerator.java:83
↓ 2 callersMethodGenerateGaussian
(double mean,double stdev)
Chapter03/src/edu/packt/neuralnet/math/RandomNumberGenerator.java:73
↓ 2 callersMethodGenerateGaussian
(double mean,double stdev)
Chapter05/math/RandomNumberGenerator.java:83
↓ 2 callersMethodGenerateNext
()
Chapter03/src/edu/packt/neuralnet/math/RandomNumberGenerator.java:59
↓ 2 callersMethodGenerateNext
GenerateNext Static method that returns a newly random number @return
Chapter02/math/RandomNumberGenerator.java:28
↓ 2 callersMethodadaptData
(int[] outputColumns, double[][] data, double[] dataOutput1, double[] dataOutput2)
Chapter06/examples/chapter06/DiagnosisExample.java:257
↓ 2 callersMethodapplyNewWeights
()
Chapter04/som/CompetitiveLearning.java:199
↓ 2 callersMethodapplyNewWeights
()
Chapter04/learn/Hebbian.java:199
↓ 2 callersMethodapplyNewWeights
()
Chapter04/learn/DeltaRule.java:304
↓ 2 callersMethodapplyNewWeights
()
Chapter04/learn/LevenbergMarquardt.java:274
↓ 2 callersMethodapplyNewWeights
()
Chapter04/learn/Backpropagation.java:335
↓ 2 callersMethodapplyNewWeights
()
Chapter06/som/CompetitiveLearning.java:194
↓ 2 callersMethodapplyNewWeights
()
Chapter06/learn/Hebbian.java:197
↓ 2 callersMethodapplyNewWeights
()
Chapter06/learn/DeltaRule.java:307
↓ 2 callersMethodapplyNewWeights
()
Chapter06/learn/LevenbergMarquardt.java:273
↓ 2 callersMethodapplyNewWeights
()
Chapter06/learn/Backpropagation.java:369
↓ 2 callersMethodapplyNewWeights
()
Chapter03/src/edu/packt/neuralnet/learn/Hebbian.java:199
↓ 2 callersMethodapplyNewWeights
()
Chapter03/src/edu/packt/neuralnet/learn/DeltaRule.java:302
↓ 2 callersMethodapplyNewWeights
()
Chapter03/src/edu/packt/neuralnet/learn/LevenbergMarquardt.java:274
↓ 2 callersMethodapplyNewWeights
()
Chapter03/src/edu/packt/neuralnet/learn/Backpropagation.java:328
↓ 2 callersMethodapplyNewWeights
()
Chapter05/som/CompetitiveLearning.java:199
↓ 2 callersMethodapplyNewWeights
()
Chapter05/learn/Hebbian.java:199
↓ 2 callersMethodapplyNewWeights
()
Chapter05/learn/DeltaRule.java:308
↓ 2 callersMethodapplyNewWeights
()
Chapter05/learn/LevenbergMarquardt.java:274
↓ 2 callersMethodapplyNewWeights
()
Chapter05/learn/Backpropagation.java:370
↓ 2 callersMethodapplyNewWeights
()
Chapter02/learn/Hebbian.java:206
↓ 2 callersMethodapplyNewWeights
()
Chapter02/learn/DeltaRule.java:302
↓ 2 callersMethodbuildErrorVector
()
Chapter04/learn/LevenbergMarquardt.java:190
↓ 2 callersMethodbuildErrorVector
()
Chapter06/learn/LevenbergMarquardt.java:189
↓ 2 callersMethodbuildErrorVector
()
Chapter03/src/edu/packt/neuralnet/learn/LevenbergMarquardt.java:190
↓ 2 callersMethodbuildErrorVector
()
Chapter05/learn/LevenbergMarquardt.java:190
↓ 2 callersMethodcalc
calc Performs the calculation of this function @param x @return Returns the result of this function
Chapter04/math/Sigmoid.java:47
↓ 2 callersMethodcalc
Calculates and returns the result of the sigmoid function @param input value @return result of the sigmoid function
Chapter06/math/Sigmoid.java:43
↓ 2 callersMethodcalc
calc Performs the calculation of this function @param x @return Returns the result of this function
Chapter03/src/edu/packt/neuralnet/math/Sigmoid.java:47
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