A new partitioning approach for constructing fuzzy models
A new partitioning approach for constructing fuzzy models
This paper presents a technique for constructing data based fuzzy model of a dynamical system by a new method of partitioning the data input space. The method is able to derive a fuzzy model from data automatically and completely avoids the curse of dimension problem usually associated with fuzzy system.
CD-ROM
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
1999
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Ming, Feng and J., Harris C.
(1999)
A new partitioning approach for constructing fuzzy models.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
This paper presents a technique for constructing data based fuzzy model of a dynamical system by a new method of partitioning the data input space. The method is able to derive a fuzzy model from data automatically and completely avoids the curse of dimension problem usually associated with fuzzy system.
This record has no associated files available for download.
More information
Published date: 1999
Additional Information:
Organisation: 3rd World Multiconference on Systemics, Cybernetic and Informatics (SCI'99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99) Address: Orlando, Florida, USA
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 252907
URI: http://eprints.soton.ac.uk/id/eprint/252907
PURE UUID: 90834055-a94d-4648-870c-62c0221ada57
Catalogue record
Date deposited: 12 Apr 2000
Last modified: 10 Dec 2021 20:30
Export record
Contributors
Author:
Feng Ming
Author:
Harris C. J.
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