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Neural Network Programming with Java by Fábio M. Soares, Alan M.F. Souza

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Learning process in MLPs

The multilayer perceptron network learns on the basis of the delta rule, which is also inspired by the gradient descent optimization method. The gradient method is broadly applied to find the minima or maxima of a given function. An example of evolution of a gradient based search method is shown in the following figure:

Learning process in MLPs

This method is applied at "walking," the direction where the function's output is higher or lower, depending on the criteria. This concept is explored in the delta rule.

Learning process in MLPs

The function that the delta rule wants ...

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