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Exploration of Relations between Symbolic and Conexionist Techniques of Computational Intelligence

This work addressed a contribution to the Computational Intelligence field, focused on two of its main techniques: Fuzzy and Neural Computing. An exploration of the techniques relations was performed. A framework for simulations and data collecting was specified and implemented. Computational simulations of transformations between fuzzy and neural models were realized and the results analyzed are presented in this paper.