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Network Performance Assessment for Neurofuzzy Data Modelling

Record type: Conference or Workshop Item (Other)

This paper evaluates the performance of ten significance measures applied to the problem of determining an appropriate network structure, for data modelling with neurofuzzy systems. The advantages of Neurofuzzy systems are demonstrated with application to both real and synthetic data interpretation problems.

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Citation

Gunn, S.R., Brown, M. and Bossley, K.M., (1997) Network Performance Assessment for Neurofuzzy Data Modelling Liu, X., Cohen, P. and Berthold, M. (eds.) At Lecture Notes in Computer Science. , 313--323.

More information

Published date: 1997
Venue - Dates: Lecture Notes in Computer Science, 1997-01-01
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 250037
URI: http://eprints.soton.ac.uk/id/eprint/250037
PURE UUID: 5386fd04-d80b-4ac4-8b58-bbd8d9e464d1

Catalogue record

Date deposited: 29 Oct 2001
Last modified: 18 Jul 2017 10:44

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Contributors

Author: S.R. Gunn
Author: M. Brown
Author: K.M. Bossley
Editor: X. Liu
Editor: P. Cohen
Editor: M. Berthold

University divisions

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