Neurofuzzy adaptive modelling and control / Martin Brown, Harris Chris.
By: Brown, Martin
.
Contributor(s): Harris, C. J. (Christopher John).
Material type: 
BookSeries: Prentice-Hall international series in systems and control engineering: Publisher: New York : Prentice Hall, 1994Description: xvii, 508 p. : ill. ; 24 cm.ISBN: 0131344536.Subject(s): Intelligent control systems | Fuzzy systems | Neural networks (Computer science)DDC classification: 629.8312 | Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Lending | 629.8312 (Browse shelf(Opens below)) | 1 | Available | 00016952 |
Enhanced descriptions from Syndetics:
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 analyzed. Their desirable features, such as local learning, are stressed and the algorithms are evaluated.
Includes bibliographical references (pages 438-459) and index.
An introduction to learning modelling and control -- Neural networks for modelling and control -- Associative memory networks -- Adaptive linear modelling -- Instantaneous learning algorithms -- The CMAC algorithm -- The modelling capabilities of the Binary CMAC -- Adaptive B-spline networks -- B-spline guidance algorithms -- The representation of fuzzy algorithms -- Adaptive fuzzy modelling and control.