@author fab

ANDTest This class solely performs AND logic test using Perceptron algorithm and Delta Rule @authors Alan de Souza, Fabio Soares @version 0.1

@author fab

ANDTest This class solely performs AND logic test using Perceptron algorithm and Delta Rule @authors Alan de Souza, Fábio Soares @version 0.1

ActivationFunctionENUM This enumeration lists some of the common used activation functions. The utility is to store this value as a neural network pro

This enumeration lists some of the common used activation functions. The utility is to store this value as a neural network property

ActivationFunctionENUM This enumeration lists some of the common used activation functions. The utility is to store this value as a neural network pro

This enumeration lists some of the common used activation functions. The utility is to store this value as a neural network property

ActivationFunctionENUM This enumeration lists some of the common used activation functions. The utility is to store this value as a neural network pro

@author fab

This class has static functions that are used to make array operations, i.e., get max and min value of an array, calculate average and std dev of an a

This class has static functions that are used to make array operations, i.e., get max and min value of an array, calculate average and std dev of an a

@author fab

This class implements Backpropagation algorithm. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

@author fab

BackpropagationTest This class solely performs Backpropagation learning algorithm test @authors Alan de Souza, Fabio Soares @version 0.1

@author fab

BackpropagationTest This class solely performs Backpropagation learning algorithm test @authors Alan de Souza, Fábio Soares @version 0.1

BackpropagationTest This class solely performs Backpropagation learning algorithm test @authors Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

Chart This class allows create and manipulate charts. It is based in JFreeChart library (www.jfree.org/jfreechart/) @author Alan de Souza, Fabio Soar

ChartTest This class solely performs chart generation tests @authors Alan de Souza, Fabio Soares @version 0.1

ChartTest This class solely performs chart generation tests @authors Alan de Souza, Fábio Soares @version 0.1

@author fab

This class implements the competitive layer used by SOM. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

This class implements the 2D competitive layer used by SOM. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

This class implements the competitive learning algorithm. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

DataNormalization This abstract class allows normalize and denormalize data via MIN_MAX, AVG_STDDEV, MINUSONE_PLUSONE, MINUSTWO_PLUSTWO techniques @a

DataNormalization This abstract class allows normalize and denormalize data via MIN_MAX, AVG_STDDEV, MINUSONE_PLUSONE, MINUSTWO_PLUSTWO techniques @a

DataNormalization This abstract class allows normalize and denormalize data via MIN_MAX, AVG_STDDEV, MINUSONE_PLUSONE, MINUSTWO_PLUSTWO techniques @a

DataNormalizationTest This class solely performs data normalization tests @authors Alan de Souza, Fabio Soares @version 0.1

DataNormalizationTest This class solely performs data normalization tests @authors Alan de Souza, Fábio Soares @version 0.1

@author fab

DataSeries This class creates data series to be used by Chart class. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

DataSet This class performs several math calculation. For example: correlation, standard devination, mean, append new data @author Alan de Souza, Fab

This class stores raw data from csv files @author fab

@author fab

This class implements Delta Rule algorithm. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

@author fab

DiagnosisExample This class performs use cases described in chapter 6 of the book: breast cancer and diabetes data. Data are loaded, data normalizatio

@author fab

This class implements ELM algorithm. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

@author fab

ELMTest This class solely performs ELM learning algorithm test @authors Alan de Souza, Fabio Soares @version 0.1

@author fab

ELMTest This class solely performs ELM learning algorithm test @authors Alan de Souza, Fábio Soares @version 0.1

@author fab

This class extends WeightInitialization class and it uses values produced by Guassian distribution to initialize neural net weights @author Alan de S

@author fab

This class extends WeightInitialization class and it uses values produced by Guassian distribution to initialize neural net weights @author Alan de S

@author fab

This class implements Hebbian algorithm. @author Alan de Souza, Fabio Soares @version 0.1

@author fab

@author fab

@author fab

HiddenLayer This class extends from NeuralLayer and represents a hidden layer in a Neural Network @authors Alan de Souza, Fábio Soares @version 0.1

This class extends from NeuralLayer and represents a hidden layer in a Neural Network @authors Alan de Souza, Fabio Soares @version 0.1

HiddenLayer This class extends from NeuralLayer and represents a hidden layer in a Neural Network @authors Alan de Souza, Fábio Soares @version 0.1

HiddenLayer This class extends from NeuralLayer and represents a hidden layer in a Neural Network @authors Alan de Souza, Fábio Soares @version 0.1

HiddenLayer This class extends from NeuralLayer and represents a hidden layer in a Neural Network @authors Alan de Souza, Fábio Soares @version 0.1

HyperTan This class represents the Hyperbolic Tangent Activation Function implementing the interface IActivationFunction @author Alan de Souza, Fábio

This class represents the Hyperbolic Tangent Activation Function implementing the interface IActivationFunction @author Alan de Souza, Fabio Soares @

HyperTan This class represents the Hyperbolic Tangent Activation Function implementing the interface IActivationFunction @author Alan de Souza, Fábio

This class represents the Hyperbolic Tangent Activation Function implementing the interface IActivationFunction @author Alan de Souza, Fábio Soares @

HyperTan This class represents the Hyperbolic Tangent Activation Function implementing the interface IActivationFunction @author Alan de Souza, Fábio

IActivationFunction This interface represents the activation function applicable to the neural network. Any activation function should implement this

This interface represents the activation function applicable to the neural network. Any activation function should implement this interface in order t

IActivationFunction This interface represents the activation function applicable to the neural network. Any activation function should implement this

This interface represents the activation function applicable to the neural network. Any activation function should implement this interface in order t

IActivationFunction This interface represents the activation function applicable to the neural network. Any activation function should implement this

@author fab

This class generates an identity matrix @author Alan de Souza, Fabio Soares @version 0.1