Search Java Classes and Packages

Search Java Frameworks and Libraries

255581 classes and counting ...
Search Tips Index Status

#Org.neuroph.nnet.comp Classes and Interfaces - 18 results found.
BiasNeuronNeuron with constant high output (1), used as biasAuthor:Zoran Sevarac See Also:Neuron, Classorg.neuroph.nnet.comp.neuronNeuroph
CompetitiveLayerRepresents layer of competitive neurons, and provides methods for competition.Classorg.neuroph.nnet.comp.layerNeuroph
CompetitiveNetworkTwo layer neural network with competitive learning rule.Classorg.neuroph.nnetNeuroph
CompetitiveNeuronProvides neuron behaviour specific for competitive neurons which are used in competitive layers, and networks with competitive learning.Classorg.neuroph.nnet.comp.neuronNeuroph
ConvolutionalLayerConvolutional layer is a special type of layer, used in convolutional neural networks.Classorg.neuroph.nnet.comp.layerNeuroph
ConvolutionalUtilsUtility functions for convolutional networksAuthor:Boris Fulurija, Zorn SevaracClassorg.neuroph.nnet.compNeuroph
DelayedConnectionRepresents the connection between neurons which can delay signal.Classorg.neuroph.nnet.compNeuroph
DelayedNeuronProvides behaviour for neurons with delayed output.Classorg.neuroph.nnet.comp.neuronNeuroph
FeatureMapsLayerThis class represents an array of feature maps which are 2 dimensional layers (Layer2D instances) and it is base class for Convolution and Pooling layers, Classorg.neuroph.nnet.comp.layerNeuroph
InputLayerRepresents a layer of input neurons - a typical neural network input layerAuthor:Zoran Sevarac See Also:InputNeuron, Classorg.neuroph.nnet.comp.layerNeuroph
InputMapsLayerInput layer for convolutional networksAuthor:Boris Fulurija, Zoran SevaracSee Also:Serialized FormClassorg.neuroph.nnet.comp.layerNeuroph
InputNeuronProvides input neuron behaviour - neuron with input extranaly set, which just transfer that input to output without change.Classorg.neuroph.nnet.comp.neuronNeuroph
InputOutputNeuronProvides behaviour specific for neurons which act as input and the output neurons within the same layer.Classorg.neuroph.nnet.comp.neuronNeuroph
KernelKernel used in convolution networks.Classorg.neuroph.nnet.compNeuroph
Layer2D2D Layer provides 2D layout of the neurons in layer.Classorg.neuroph.nnet.comp.layerNeuroph
Layer2D .DimensionsDimensions (width and height) of the Layer2DSee Also:Serialized FormClassorg.neuroph.nnet.comp.layerNeuroph
PoolingLayerPooling layer is a special type of feature maps layer (FeatureMapsLayer) which is used in convolutional networks.Classorg.neuroph.nnet.comp.layerNeuroph
ThresholdNeuronProvides behaviour for neurons with threshold.Classorg.neuroph.nnet.comp.neuronNeuroph