DocumentCode
315341
Title
Constructive algorithm for neuro-fuzzy networks
Author
Mascioli, F. M Frattale ; Varazi, G.M. ; Martinelli, G. M M
Author_Institution
INFO-COm Dept., Rome Univ., Italy
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
459
Abstract
A constructive algorithm is proposed by merging the min-max and the ANFIS models in order to obtain neuro-fuzzy networks. The min-max model is used to determine an optimal set of IF-THEN rules by following a constructive procedure. By means of this set, the architecture of an ANFIS-like net is derived with good performances in terms of structural complexity, generalization capability and speed of convergence. Simulations are described to show the behavior of the proposed algorithm
Keywords
convergence; fuzzy neural nets; minimax techniques; neural net architecture; ANFIS model; IF-THEN rules; convergence; generalization capability; min-max model; neuro-fuzzy networks; optimal rule set; structural complexity; Computational efficiency; Computational modeling; Computer architecture; Computer networks; Costs; Fuzzy logic; Fuzzy neural networks; Merging; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616411
Filename
616411
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