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Adaptive numerical modelling of commercial aluminium plate performance

Record type: Conference or Workshop Item (Paper)

Adaptive numerical methods, such as neural networks, have received considerable attention in recent years in relation to the modelling of complex physical systems. In this work a variety of such methods have been applied to the modelling/data mining of commercial materials production data, thereby avoiding the scale-up problems associated with laboratory scale investigations of materials behaviour. It is shown that adaptive numerical methods may determine valuable empirical models from such complex databases, whilst the value of transparent modelling methods (where the underlying relationships between input variables and modelled characteristics may be clearly visualised) is highlighted in providing model confidence and the potential to extract novel physical understanding.

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Citation

Christensen, S., Kandola, J.S., Femminella, O., Gunn, S.R., Reed, P.A.S. and Sinclair, I., (2000) Adaptive numerical modelling of commercial aluminium plate performance Starke, Jr., E.A., Sanders, T.H. and Cassada, W.A. (eds.) In Aluminium Alloys: Their Physical and Mechanical Properties. Trans Tech., pp. 533-538.

More information

Published date: 2000
Additional Information: Series ISSN 0255-5476
Venue - Dates: 7th International Conference ICAA7, 2000-04-09 - 2000-04-14
Keywords: adaptive numeric methods, data mining, empirical modelling, fuzzy logic, neural networks, support vector machines
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 43065
URI: http://eprints.soton.ac.uk/id/eprint/43065
ISBN: 0878498532
ISSN: 0255-5476
PURE UUID: 117742b9-1dba-4846-8cde-ef875b51ae3f
ORCID for P.A.S. Reed: ORCID iD orcid.org/0000-0002-2258-0347

Catalogue record

Date deposited: 10 Jan 2007
Last modified: 17 Jul 2017 15:20

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Contributors

Author: S. Christensen
Author: J.S. Kandola
Author: O. Femminella
Author: S.R. Gunn
Author: P.A.S. Reed ORCID iD
Author: I. Sinclair
Editor: E.A. Starke, Jr.
Editor: T.H. Sanders
Editor: W.A. Cassada

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