Package | Description |
---|---|
org.neuroph.nnet |
Provides out-of-the-box neural networks
|
org.neuroph.util |
Provides various utility classes for creating neural networks,
type codes, parsing vectors, etc.
|
Class and Description |
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ConvolutionalNetwork
Convolutional neural network with backpropagation algorithm modified for
convolutional networks.
|
ConvolutionalNetwork.Builder |
MultiLayerPerceptron
Multi Layer Perceptron neural network with Back propagation learning algorithm.
|
Class and Description |
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Adaline
Adaline neural network architecture with LMS learning rule.
|
BAM
Bidirectional Associative Memory
|
CompetitiveNetwork
Two layer neural network with competitive learning rule.
|
Hopfield
Hopfield neural network.
|
Instar
Instar neural network with Instar learning rule.
|
Kohonen
Kohonen neural network.
|
MaxNet
Max Net neural network with competitive learning rule.
|
MultiLayerPerceptron
Multi Layer Perceptron neural network with Back propagation learning algorithm.
|
Outstar
Outstar neural network with Outstar learning rule.
|
Perceptron
Perceptron neural network with some LMS based learning algorithm.
|
RBFNetwork
Radial basis function neural network.
|
SupervisedHebbianNetwork
Hebbian neural network with supervised Hebbian learning algorithm.
|
UnsupervisedHebbianNetwork
Hebbian neural network with unsupervised Hebbian learning algorithm.
|
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