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.
ContextLayer
          The context layer is similar to the linear layer except that it has an auto-recurrent connection between its output and input.
ExtendableLearner
          Learners that extend this class are forced to implement certain functions, a so-called skeleton.
ExtendedKalmanFilterFFN
          Implements the extended Kalman filter (EKF) as described in "Using an extended Kalman filter learning algorithm for feed-forward neural networks to describe tracer correlations" by Lary and Mussa (2004) in order to train a feed-forward neural network.
ExtendedKalmanFilterRNN
          Implements the extended Kalman filter (EKF) as described in "Some observations on the use of the extended Kalman filter as a recurrent network learning algorithm" by Williams (1992) in order to train a recurrent neural network.
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.
RbfLayer
          This is the basis (helper) for radial basis function layers.
RpropParameters
          This object holds the global parameters for the RPROP learning algorithm (RpropLearner).
RTRL
          A RTRL implementation.
RTRLLearnerFactory.InitialState
          An initial state.
RTRLLearnerFactory.Node
          A node.
RTRLLearnerFactory.RTRLLearner
          The learner we will return from this factory.
RTRLLearnerFactory.Weight
          A weight.
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
DirectSynapse
          This is forward-only synapse.
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
           
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.
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.
Synapse
          The Synapse is the connection element between two Layer objects.
 



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