Neuroph

Uses of Package
org.neuroph.nnet

Packages that use org.neuroph.nnet
org.neuroph.nnet.learning This package provides implementations of concrete neural network learning algorithms. 
org.neuroph.util This package provides various utility classes for creating neural networks, type codes, parsing vectors, etc. 
 

Classes in org.neuroph.nnet used by org.neuroph.nnet.learning
Kohonen
          The Kohonen class represents Kohonen neural network.
 

Classes in org.neuroph.nnet used by org.neuroph.util
Adaline
          The Adaline class represents Adaline neural network architecture with LMS learning rule.
BAM
           
CompetitiveNetwork
          The CompetitiveNetwork class represents neural network with competitive learning rule.
Hopfield
          The Hopfield class represents Hopfield neural network.
Instar
          The Instar class represents Instar neural network with Instar learning rule.
Kohonen
          The Kohonen class represents Kohonen neural network.
MaxNet
          The MaxNet class represents Max Net neural network with competitive learning rule.
MultiLayerPerceptron
          The MultiLayerPerceptron class that represents Multi Layer Perceptron neural network with Back propagation learning algorithm.
Outstar
          The Outstar class represents Outstar neural network with Outstar learning rule.
Perceptron
          The Perceptron class that represents Perceptron neural network with some LMS based learning algorithm.
RbfNetwork
          The RbfNetwork class represents Radial basis function neural network.
SupervisedHebbianNetwork
          The SupervisedHebbianNetwork class that represents Hebbian neural network with supervised hebbian learning algorithm.
UnsupervisedHebbianNetwork
          The UnsupervisedHebbianNetwork class that represents Hebbian neural network with Unsupervised Hebbian learning algorithm.
 


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