Adaptive numerical modelling of commercial aluminium plate performance

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.


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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Series ISSN 0255-5476
ISBNs: 0878498532 (print)
ISSNs: 0255-5476 (print)
Venue - Dates: 7th International Conference ICAA7, 2000-04-09 - 2000-04-14
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Keywords: adaptive numeric methods, data mining, empirical modelling, fuzzy logic, neural networks, support vector machines
Organisations: Engineering Mats & Surface Engineerg Gp
ePrint ID: 43065
Date :
Date Event
Date Deposited: 10 Jan 2007
Last Modified: 16 Apr 2017 18:50
Further Information:Google Scholar

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