Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control
Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control
This paper briefly describes the modelling abilities of certain associative memory neural networks - the CMAC and B-splines and discusses how network construction algorithms may be used to produce parsimonious representations.
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
1994
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Brown, M. and Harris, C.J.
(1994)
Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control.
Colloq. on Nonlinear Control.
Record type:
Conference or Workshop Item
(Other)
Abstract
This paper briefly describes the modelling abilities of certain associative memory neural networks - the CMAC and B-splines and discusses how network construction algorithms may be used to produce parsimonious representations.
This record has no associated files available for download.
More information
Published date: 1994
Additional Information:
Organisation: IEE Address: London, UK
Venue - Dates:
Colloq. on Nonlinear Control, 1994-01-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 250253
URI: http://eprints.soton.ac.uk/id/eprint/250253
PURE UUID: a5ebdf4e-e364-4a28-bd17-8f83ba65fec9
Catalogue record
Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:07
Export record
Contributors
Author:
M. Brown
Author:
C.J. Harris
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics