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C. FERREIRA

In A. Abraham, B. de Baets, M. Köppen, and B. Nickolay, eds., Applied Soft Computing Technologies: The Challenge of Complexity, pages 517-536, Springer-Verlag, 2006.


Designing Neural Networks Using Gene Expression Programming

Solving problems with NNs designed by GEP
 
The problems chosen to illustrate the evolution of linearly encoded neural networks are two well-known problems of logic synthesis. The first, the exclusive-or problem, was chosen both for its historical importance in the neural network field and for its simplicity, allowing an easy understanding of the evolved neural networks. The second, the 6-bit multiplexer, is a rather complex problem and can be useful for evaluating the efficiency of this new algorithm.

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