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Uses of Class
AI.NeuralNetworks.FeedForwardLayer

Uses of FeedForwardLayer in AI.NeuralNetworks
 

Subclasses of FeedForwardLayer in AI.NeuralNetworks
 class DistributedFeedForwardWeightedTrainingLayer
          This class is used to represent the inner and output layers of a multilayer feed forward neural network
 class FeedForwardInputLayer
          This class is used to represent the first layer of a multilayer feed forward neural network
 class FeedForwardWeightedLayer
          This class is used to represent the inner and output layers of a multilayer feed forward neural network
 class FeedForwardWeightedTrainingLayer
          This class is used to represent the inner and output layers of a multilayer feed forward neural network where the back error propabation algorithm is run
 

Methods in AI.NeuralNetworks with parameters of type FeedForwardLayer
 void FeedForwardWeightedLayer.runLayer(FeedForwardLayer previousLayer)
          Calculates the new activation values of this layer based on the previous layer
 void FeedForwardWeightedTrainingLayer.adjustDeltaWeights(float[] expectedOutput, FeedForwardLayer previousLayer)
          Calculates and adds the delta weights for this pattern
 void FeedForwardWeightedTrainingLayer.adjustDeltaWeights(FeedForwardLayer previousLayer, FeedForwardWeightedTrainingLayer nextLayer)
          Calculates and adds the delta weights for this pattern