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•	AI.NeuralNetworks.* (12)

Package Samples:

• AI.NeuralNetworks

Classes:

• DistributedBackErrorPropagation: This Class is a nerual network with a multiple layer feed forward architecture where a distributed version of the back error propagation algorithm could be run
• 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
• BackErrorPropagation: This Class is a nerual network with a multiple layer feed forward architecture where the back error propagation could be run
• FeedForwardLayer: A multilayer feed forewar nerual network is composed by layers those layers are subclases of this class.
• DistributedFeedForwardWeightedTrainingLayer: This class is used to represent the inner and output layers of a multilayer feed forward neural network
• FeedForwardWeightedLayer: This class is used to represent the inner and output layers of a multilayer feed forward neural network
• FeedForwardInputLayer: This class is used to represent the first layer of a multilayer feed forward neural network
• FeedForwardNetwork: This Class is a nerual network with a multiple layer feed forward architecture
• PatternPair: This class has a input - output pattern for a nerual netwrok
• NeuralNetworkTeacher: This interface defines a NerualNetwork Teacher
• Notify: This interface defines an Notify object.
• UnexpectedInputArraySizeException

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