DocumentCode :
895953
Title :
Comments on "A new approach to fuzzy-neural system modeling" [with reply]
Author :
Russo, Marco
Author_Institution :
Fac. di Ingegneria, Inst. di Inf. e Telecommun., Catania, Italy
Volume :
4
Issue :
2
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
209
Lastpage :
210
Abstract :
In the original paper (Y. Lin and G. A. Cunningham, ibid., vol. 3, p. 190-8, 1995), an approach to fuzzy-neural knowledge extraction starting from multi-input single-output examples is given. The author shows that the performance index given there is almost monotonically decreasing with m/sup -(1/2)/; that is, it is possible to obtain a very small performance index simply by increasing m. This is possible even if at the end of the learning phase the root mean square error remains very high. The original authors acknowledge that this is correct and explain why nevertheless they presented the approach that they did.
Keywords :
fuzzy neural nets; knowledge acquisition; modelling; MISO examples; fuzzy-neural system modeling; knowledge extraction; multi-input single-output examples; performance index; root mean square error; Backpropagation; Genetic algorithms; Modeling; Neural networks; Neurons; Nonlinear equations; Performance analysis; Telecommunications;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/91.493915
Filename :
493915
Link To Document :
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