Adaptive Neurofuzzy Systems for Difficult Modelling and Control Problems


Brown, M. and Harris, C.J. (1994) Adaptive Neurofuzzy Systems for Difficult Modelling and Control Problems At Colloq on Advances in Neural Networks for Control and Systems.

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Description/Abstract

This paper briefly describes how neurofuzzy systems combine the linguistic representation of fuzzy logic with the learning abilities and structure of a neural network. Several training algorithms are briefly described and several inductive learning procedures are outlined.

Item Type: Conference or Workshop Item (Other)
Additional Information: Organisation: IEE Address: Berlin, Germany
Venue - Dates: Colloq on Advances in Neural Networks for Control and Systems, 1994-01-01
Organisations: Southampton Wireless Group
ePrint ID: 250252
Date :
Date Event
1994Published
Date Deposited: 04 May 1999
Last Modified: 18 Apr 2017 00:23
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250252

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