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

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Interesting MLP applications

The two broader classes of problems that MLPs are suitable for are as follows: classification and regression. Classification means that given a dataset composed of records, each record should be labeled or classified. Regression means that given a set of inputs and outputs, one must find a function that maps the inputs to the outputs. Both types of problems belong to the category of supervised learning.

Classification in MLPs

Given a list of classes and a dataset, one wishes to classify them, according to a historical dataset containing records and their respective classes. The following table shows an example of this dataset, considering the subjects' average grades between 0 and 10.

Student ID

Subjects

Profession ...

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