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Packages that use NeuralNetListener | |
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org.joone.engine | |
org.joone.engine.listeners | |
org.joone.net | |
org.joone.script | |
org.joone.structure | |
org.joone.util |
Uses of NeuralNetListener in org.joone.engine |
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Classes in org.joone.engine that implement NeuralNetListener | |
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class |
EKFFFNLearnerPlugin
A plugin listener that implements the EKFFFN learner used to train feed forward neural networks. |
class |
EKFRNNLearnerPlugin
A plugin listener that implements the EKF learner, based on "Some observations on the use of the extended Kalman filter as a recurrent network learning algorithm" by Williams (1992) in order to train a network. |
class |
GaussianLayer
This layer implements the Gaussian Neighborhood SOM strategy. |
class |
KohonenSynapse
This is an unsupervised Kohonen Synapse which is a Self Organising Map. |
class |
NeuralNetAdapter
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class |
RTRLLearnerFactory
A RTRL implementation. |
class |
RTRLLearnerPlugin
A plugin listener that applies the RTRL algorithm to a network. |
Methods in org.joone.engine with parameters of type NeuralNetListener | |
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void |
Monitor.addNeuralNetListener(NeuralNetListener l)
adds a neural net event listener the Monitor |
void |
Monitor.addNeuralNetListener(NeuralNetListener l,
boolean removable)
adds a neural net event listener to the Monitor |
protected void |
Layer.removeListener(NeuralNetListener listener)
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void |
Monitor.removeNeuralNetListener(NeuralNetListener l)
Removes a listener |
Uses of NeuralNetListener in org.joone.engine.listeners |
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Classes in org.joone.engine.listeners that implement NeuralNetListener | |
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class |
ConvergenceObserver
Abstract class for all convergence observer. |
class |
DeltaBasedConvergenceObserver
This observer observes if the network has convergenced based on the size of the weight updates (deltas). |
class |
ErrorBasedConvergenceObserver
This observer observes if the network has convergenced based on the sequence of training errors. |
class |
ErrorBasedTerminator
Stops a network whenever the training error of the network falls below a certain value. |
Uses of NeuralNetListener in org.joone.net |
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Classes in org.joone.net that implement NeuralNetListener | |
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class |
NeuralNet
This object represents a container of a neural network, giving to the developer the possibility to manage a neural network as a whole. |
class |
NeuralNetValidator
This class is useful to validate a neural network. |
Methods in org.joone.net with parameters of type NeuralNetListener | |
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void |
NeuralNet.addNeuralNetListener(NeuralNetListener listener)
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void |
NeuralNet.removeNeuralNetListener(NeuralNetListener listener)
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Uses of NeuralNetListener in org.joone.script |
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Subinterfaces of NeuralNetListener in org.joone.script | |
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interface |
MacroInterface
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Uses of NeuralNetListener in org.joone.structure |
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Classes in org.joone.structure that implement NeuralNetListener | |
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class |
Nakayama
This class performs the method of optimizing activation functions as described in: |
Uses of NeuralNetListener in org.joone.util |
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Classes in org.joone.util that implement NeuralNetListener | |
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class |
DynamicAnnealing
This plugin controls the change of the learning rate based on the difference between the last two global error (E) values: if E(t) > E(t-1) then LR = LR * (1 - step/100) Note: step/100 because step is inserted as a % value from the user if E(t) <= E(t-1) then LR is unchanged |
class |
GroovyMacroPlugin
|
class |
LinearAnnealing
This plugin changes linearly the values of the learning rate and of the momentum parameters. |
class |
MacroPlugin
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class |
MonitorPlugin
This class represents a generic listener of the net's events. |
class |
NeuralNetRunner
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class |
SnapshotPlugin
A SnapshotPlugin manages the generation of snapshots of the network's state at regular intervals during its activity. |
class |
SnapshotRecorder
A SnapshotRecorder serves to create and record snapshots of a neural network in a file as a serie of serialized objects graphs. |
class |
WeightWriterPlugin
A class that can be used to write weight values during training to a file in gnuplot format. |
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