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## Uses of Package
org.joone.engine

Packages that use org.joone.engine
org.joone.engine |
org.joone.engine.extenders |
org.joone.engine.learning |
org.joone.engine.listeners |
org.joone.engine.weights |
org.joone.inspection.implementations |
org.joone.io |
org.joone.net |
org.joone.script |
org.joone.structure |
org.joone.util |

Classes in org.joone.engine used by org.joone.engine
AbstractEventNotifier This class raises an event notification invoking the corrisponnding Monitor.fireXXX method.
AbstractLearner This class provides some basic simple functionality that can be used (extended) by other learners.
ExtendableLearner Learners that extend this class are forced to implement certain functions, a so-called skeleton.
FIRFilter Element of a connection representing a FIR filter (Finite Impulse Response).
FullSynapse
InputPatternListener This interface represents an input synapse for a generic layer.
Layer The Layer object is the basic element forming the neural net.
Learnable
LearnableLayer
LearnableSynapse
Learner
LearnerFactory Learner factories are used to provide the synapses and layers, through the monitor object with Leaners.
LinearLayer The output of a linear layer neuron is the sum of the weighted input values, scaled by the beta parameter.
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.
MemoryLayer
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralElement This interface represents a generic element of a neural network
NeuralLayer This is the interface for all the layer objects of the neural network
NeuralNetEvent Transport class used to notify the events raised from a neural network
NeuralNetListener
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.
RbfGaussianParameters This class defines the parameters, like center, sigma, etc. for the Gaussian RBF.
RbfLayer This is the basis (helper) for radial basis function layers.
RpropParameters This object holds the global parameters for the RPROP learning algorithm (RpropLearner).
SimpleLayer This abstract class represents layers that are composed by neurons that implement some transfer function.
SpatialMap SpatialMap is intended to be an abstract spatial map for use with a GaussianLayer.
Synapse The Synapse is the connection element between two Layer objects.

Classes in org.joone.engine used by org.joone.engine.extenders
ExtendableLearner Learners that extend this class are forced to implement certain functions, a so-called skeleton.
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.
RpropParameters This object holds the global parameters for the RPROP learning algorithm (RpropLearner).

Classes in org.joone.engine used by org.joone.engine.learning
Fifo The `Fifo` class represents a first-in-first-out (FIFO) stack of objects.
InputPatternListener This interface represents an input synapse for a generic layer.
Learnable
LearnableSynapse
LinearLayer The output of a linear layer neuron is the sum of the weighted input values, scaled by the beta parameter.
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralElement This interface represents a generic element of a neural network
NeuralNetEvent Transport class used to notify the events raised from a neural network
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.
Synapse The Synapse is the connection element between two Layer objects.

Classes in org.joone.engine used by org.joone.engine.listeners
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralNetListener

Classes in org.joone.engine used by org.joone.engine.weights
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.

Classes in org.joone.engine used by org.joone.inspection.implementations
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.

Classes in org.joone.engine used by org.joone.io
Fifo The `Fifo` class represents a first-in-first-out (FIFO) stack of objects.
InputPatternListener This interface represents an input synapse for a generic layer.
Learnable
LearnableSynapse
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralElement This interface represents a generic element of a neural network
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.
Synapse The Synapse is the connection element between two Layer objects.

Classes in org.joone.engine used by org.joone.net
InputPatternListener This interface represents an input synapse for a generic layer.
Layer The Layer object is the basic element forming the neural net.
Learnable
LearnableLayer
Matrix The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralLayer This is the interface for all the layer objects of the neural network
NeuralNetEvent Transport class used to notify the events raised from a neural network
NeuralNetListener
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.

Classes in org.joone.engine used by org.joone.script
NeuralNetListener

Classes in org.joone.engine used by org.joone.structure
InputPatternListener This interface represents an input synapse for a generic layer.
Layer The Layer object is the basic element forming the neural net.
Learnable
LearnableSynapse
NeuralElement This interface represents a generic element of a neural network
NeuralNetEvent Transport class used to notify the events raised from a neural network
NeuralNetListener
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.
Synapse The Synapse is the connection element between two Layer objects.

Classes in org.joone.engine used by org.joone.util
InputPatternListener This interface represents an input synapse for a generic layer.
Learnable
LearnableSynapse
Monitor The Monitor object is the controller of the behavior of the neural net.
NeuralElement This interface represents a generic element of a neural network
NeuralNetEvent Transport class used to notify the events raised from a neural network
NeuralNetListener
OutputPatternListener This interface represents an output synapse for a generic layer.
Pattern The pattern object contains the data that must be processed from a neural net.
RbfGaussianLayer This class implements the nonlinear layer in Radial Basis Function (RBF) networks using Gaussian functions.
RbfGaussianParameters This class defines the parameters, like center, sigma, etc. for the Gaussian RBF.
Synapse The Synapse is the connection element between two Layer objects.

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