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Neurofuzzy computing

Because rules can be extracted in such a straightforward fashion, neurofuzzy computing is rapidly becoming accepted as a useful data mining technique. Even with relatively small amounts of data, it can give useful information that can be used to suggest which direction future experiments should take. [Pg.2405]

Nauck, D. Kruse, R. Neurofuzzy systems for function approximation. Proceedings Fuzzy-Neuro Systems 97— Computational Intelligence 1997 Infix, Saint Augustin 316-323. [Pg.2410]

Gunn, S. R., Brown, M. and Bossley, K. M. (1997). Network Performance Assessment for Neurofuzzy Data Modelling, Lecture notes in computer science, 1280, pp. 313-323. [Pg.322]

See other pages where Neurofuzzy computing is mentioned: [Pg.691]    [Pg.692]    [Pg.2404]    [Pg.2404]    [Pg.2406]    [Pg.2407]    [Pg.691]    [Pg.692]    [Pg.2404]    [Pg.2404]    [Pg.2406]    [Pg.2407]    [Pg.336]    [Pg.337]    [Pg.366]   
See also in sourсe #XX -- [ Pg.691 ]

See also in sourсe #XX -- [ Pg.2404 ]



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