The University of Southampton
University of Southampton Institutional Repository

Neurofuzzy Model Construction for the Modelling of Non-linear Processes

Bossley, K.M., Brown, M. and Harris, C.J. (1995) Neurofuzzy Model Construction for the Modelling of Non-linear Processes At 3rd European Control conference. , 2438--2443.

Record type: Conference or Workshop Item (Other)


Neurofuzzy systems are ideal for modelling nonlinear processes; combining the transparent knowledge representation of fuzzy systems with the well established learning techniques of associative memory networks. In the control community there is a need for high-dimensional modelling, but unfortunately these neurofuzzy systems suffer from the curse of dimensionality. To make the use of high-dimensional neurofuzzy systems practical, off-line construction algorithms need to be developed which generate parsimonious models. This need for off-line construction algorithms is enhanced by the lack of expert knowledge from which models are traditionally developed. This paper outlines the concepts of B-spline neurofuzzy systems and presents several representations which can be exploited to produce parsimonious models. Finally, an off-line construction algorithm based on several of these representations is illustrated with a simple example.

Full text not available from this repository.

More information

Published date: 1995
Additional Information: Address: Rome, Italy
Venue - Dates: 3rd European Control conference, 1995-01-01
Organisations: Southampton Wireless Group


Local EPrints ID: 250234
PURE UUID: c6801b51-75bb-4fc7-b54c-57ac0f95518c

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

Export record


Author: K.M. Bossley
Author: M. Brown
Author: C.J. Harris

University divisions

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.