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The Class CLayer

In this class one layer of neurons is implemented, consisting of a number of neurons and a constant input called bias. The neurons within the layer are of type CCell.

A object of class CLayer can calculate the output of the layer for a given input; this method is used in the working mode of the network as well as during learning. Most other methods in this class implement the BP-learning for one layer. The CLayer-object has methods to calculate the error signal (δ) for a hidden layer and for an output layer. This makes it possible to use the class to implement both types of layers in a MLP.


next up previous contents
Next: The Class CBackPro Up: The Neural Network Library Previous: The Class CCell

Albrecht Schmidt
Mit Okt 4 16:45:34 CEST 2000