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 simula...

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Bibliographic Details
Main Authors: Caversan, F.L., Fialho, A.R.S., de Andrade, M.T.C.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Biological system modeling
Biology computing
Competitive intelligence
Computational intelligence
Computational modeling
Fuzzy sets
Fuzzy systems
Knowledge engineering
Neurons
Online Access:Request full text
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Summary: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.
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2007.124