An Analysis of the Application of B-spline Neurofuzzy Construction Algorithms
An Analysis of the Application of B-spline Neurofuzzy Construction Algorithms
This paper investigates the application of the B-spline neurofuzzy construction algorithms, developed by the ISIS research group, to identifying appropriate models from two standard data sets. The two data sets are the Box-Jenkins data and a simulated system data set, both of which can are described by discrete time series models. It is shown that the construction algorithms pick out the dominant linear components associated with this data, as well as the small nonlinearities, and the model's structure facilitates the analysis of the data where errors occur. This is simplified by the incorporation of these techniques inside NeuFrame: a PC-based graphical development environment.
1830--1834
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Bossley, K.M.
de1a2979-b9e9-481e-af09-0b4887f0f360
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
1996
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Bossley, K.M.
de1a2979-b9e9-481e-af09-0b4887f0f360
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Brown, M., Bossley, K.M. and Harris, C.J.
(1996)
An Analysis of the Application of B-spline Neurofuzzy Construction Algorithms.
EUFIT '96.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
This paper investigates the application of the B-spline neurofuzzy construction algorithms, developed by the ISIS research group, to identifying appropriate models from two standard data sets. The two data sets are the Box-Jenkins data and a simulated system data set, both of which can are described by discrete time series models. It is shown that the construction algorithms pick out the dominant linear components associated with this data, as well as the small nonlinearities, and the model's structure facilitates the analysis of the data where errors occur. This is simplified by the incorporation of these techniques inside NeuFrame: a PC-based graphical development environment.
This record has no associated files available for download.
More information
Published date: 1996
Venue - Dates:
EUFIT '96, 1996-01-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 250120
URI: http://eprints.soton.ac.uk/id/eprint/250120
PURE UUID: 80ddc286-71ee-49ae-9e19-9fdb689db5d2
Catalogue record
Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:06
Export record
Contributors
Author:
M. Brown
Author:
K.M. Bossley
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