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C. FERREIRA 9th Online World Conference on Soft Computing in Industrial Applications, 2004 Designing Neural Networks Using Gene Expression Programming Solving problems with neural networks designed by gene expression programming   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 net. The second, the 6-bit multiplexer, is a rather complex problem and can be useful for evaluating the efficiency of this new algorithm. Home | Contents | Previous | Next