Aspects of Instantaneous On-Line Learning Rules


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

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Description/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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: IEE Address: Warwick, UK
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250210
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250210

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