DocumentCode :
2227994
Title :
Exploration of Relations between Symbolic and Conexionist Techniques of Computational Intelligence
Author :
Caversan, F.L. ; Fialho, A.R.S. ; de Andrade, M.T.C.
Author_Institution :
Coll. of Eng. of Sorocaba (FACENS), Sorocaba
fYear :
2007
fDate :
20-24 Oct. 2007
Firstpage :
70
Lastpage :
78
Abstract :
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.
Keywords :
artificial intelligence; fuzzy neural nets; computational intelligence; conexionist techniques; fuzzy computing; neural computing; symbolic techniques; Artificial intelligence; Biological system modeling; Biology computing; Competitive intelligence; Computational intelligence; Computational modeling; Fuzzy sets; Fuzzy systems; Knowledge engineering; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
Type :
conf
DOI :
10.1109/ISDA.2007.124
Filename :
4389588
Link To Document :
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