| 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 |
|---|
| 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 |
|---|
| 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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