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Aspects of Instantaneous On-Line Learning Rules

An, P.E., Brown, M. and Harris, C.J. (1994) Aspects of Instantaneous On-Line Learning Rules At Control '94. , pp. 646-651.

Record type: Conference or Workshop Item (Other)


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, 1994-01-01
Organisations: Southampton Wireless Group


Local EPrints ID: 250210
PURE UUID: 5bccf3ea-bdcc-4427-a1fa-d2fae5bae397

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

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Author: P.E. An
Author: M. Brown
Author: C.J. Harris

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