Aspects of Instantaneous On-Line Learning Rules
Aspects of Instantaneous On-Line Learning Rules
In neural and fuzzy learning systems, instantaneous learning rules have often been proposed for use within on-line adaptive modelling and control schemes. However many aspects of this work remain unexplained or only partially known such as: how do these learning rules deal with singular systems? what happens when the data are inconsistent? how is on-line parameter convergence related to that of standard gradient descent rules? and is momentum beneficial to the parameter estimation procedure? This paper investigates all of these topics, suggests modifications to the basic procedures where necessary and describes some of the reformulations which have been previously proposed.
646-651
An, P.E.
5dc94657-d009-4d13-9a0f-6645a9d296d9
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
1994
An, P.E.
5dc94657-d009-4d13-9a0f-6645a9d296d9
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
An, P.E., Brown, M. and Harris, C.J.
(1994)
Aspects of Instantaneous On-Line Learning Rules.
Control'94.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
In neural and fuzzy learning systems, instantaneous learning rules have often been proposed for use within on-line adaptive modelling and control schemes. However many aspects of this work remain unexplained or only partially known such as: how do these learning rules deal with singular systems? what happens when the data are inconsistent? how is on-line parameter convergence related to that of standard gradient descent rules? and is momentum beneficial to the parameter estimation procedure? This paper investigates all of these topics, suggests modifications to the basic procedures where necessary and describes some of the reformulations which have been previously proposed.
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Published date: 1994
Additional Information:
Organisation: IEE Address: Warwick, UK
Venue - Dates:
Control'94, 1994-03-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 250210
URI: http://eprints.soton.ac.uk/id/eprint/250210
PURE UUID: 5bccf3ea-bdcc-4427-a1fa-d2fae5bae397
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Date deposited: 04 May 1999
Last modified: 05 Mar 2024 18:39
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Contributors
Author:
P.E. An
Author:
M. Brown
Author:
C.J. Harris
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