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OjaLearning
- Class in
org.neuroph.nnet.learning
Oja learning rule wich is a modification of unsupervised hebbian learning.
OjaLearning()
- Constructor for class org.neuroph.nnet.learning.
OjaLearning
Creates an instance of OjaLearning algorithm
OjaLearning(NeuralNetwork)
- Constructor for class org.neuroph.nnet.learning.
OjaLearning
Creates an instance of OjaLearning algorithm for the specified neural network
Or
- Class in
org.neuroph.core.input
Performs logic OR operation on input vector.
Or()
- Constructor for class org.neuroph.core.input.
Or
org.neuroph.contrib
- package org.neuroph.contrib
Provides various contributions from the Neuroph community.
org.neuroph.contrib.imgrec
- package org.neuroph.contrib.imgrec
Provides classes for image recognition with neural networks.
org.neuroph.core
- package org.neuroph.core
Provides base classes and basic building components for neural networks.
org.neuroph.core.input
- package org.neuroph.core.input
Provides common neuron input functions
org.neuroph.core.learning
- package org.neuroph.core.learning
Provides base classes for neural network learning algorithms.
org.neuroph.core.transfer
- package org.neuroph.core.transfer
Provides common neuron transfer functions
org.neuroph.nnet
- package org.neuroph.nnet
Provides out-of-the-box neural networks
org.neuroph.nnet.comp
- package org.neuroph.nnet.comp
Provides components for the specific neural network models.
org.neuroph.nnet.learning
- package org.neuroph.nnet.learning
Provides implementations of specific neural network learning algorithms.
org.neuroph.samples
- package org.neuroph.samples
Provides some basic examples of how to use Neuroph.
org.neuroph.util
- package org.neuroph.util
Provides various utility classes for creating neural networks, type codes, parsing vectors, etc.
org.neuroph.util.plugins
- package org.neuroph.util.plugins
Provides various plugins for neural networks.
outConnections
- Variable in class org.neuroph.core.
Neuron
Collection of neuron's output connections (connections from this to other neurons)
output
- Variable in class org.neuroph.core.
Neuron
Neuron output
outputHistory
- Variable in class org.neuroph.nnet.comp.
DelayedNeuron
Output history for this neuron
Outstar
- Class in
org.neuroph.nnet
Outstar neural network with Outstar learning rule.
Outstar(int)
- Constructor for class org.neuroph.nnet.
Outstar
Creates an instance of Outstar network with specified number of neurons in output layer.
OutstarLearning
- Class in
org.neuroph.nnet.learning
Hebbian-like learning rule for Outstar network.
OutstarLearning()
- Constructor for class org.neuroph.nnet.learning.
OutstarLearning
Creates new instance of OutstarLearning algorithm
OutstarLearning(NeuralNetwork)
- Constructor for class org.neuroph.nnet.learning.
OutstarLearning
Creates new instance of OutstarLearning algorithm for the specified neural network.
Overview
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