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Neurofuzzy adaptive modelling and control

Author: Martin Brown; C J Harris
Publisher: New York : Prentice Hall, 1994.
Series: Prentice-Hall international series in systems and control engineering.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Describes several adaptive neural and fuzzy networks and introduces the associate memory class of systems. The Albus CMAC, the B-spline network and a class of fuzzy systems are described and  Read more...

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Additional Physical Format: Online version:
Brown, Martin.
Neurofuzzy adaptive modelling and control.
New York : Prentice Hall, 1994
(OCoLC)624444951
Document Type: Book
All Authors / Contributors: Martin Brown; C J Harris
ISBN: 0131344536 9780131344532
OCLC Number: 30623895
Description: xvii, 508 pages : illustrations ; 24 cm.
Contents: An introduction to learning modelling and control; neural networks for modelling and control; associative memory networks; adaptive linear modelling; instantaneous gradient descent; the CMAC algorithm; the modelling capabilities of the binary CMAC; adaptive B-spline networks; contrained trajectory generation using B-splines; learning fuzzy systems; discussion and further research; modified error correction rule; improved CMAC displacement tables; associative memory network software structure; fuzzy conjunction; weight to rule confidence vector map.
Series Title: Prentice-Hall international series in systems and control engineering.
Responsibility: Martin Brown, Chris Harris.

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