Model Fusion Via a Master Fuzzy System with Special Application to Engineering Materials

Zhang, Qian, Mahfouf, Mahdi, Yates, John R., Pinna, Christophe, Panoutsos, George (2011) Model Fusion Via a Master Fuzzy System with Special Application to Engineering Materials. In: World Congress. 18 (1). pp. 11732-11737. (doi:10.3182/20110828-6-IT-1002.00771) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50544)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://doi.org/10.3182/20110828-6-IT-1002.00771

Abstract

To improve the modelling performance, one should either propose new modelling methodologies or make the best of existing models. In this paper, the study is concentrated on the latter solution, where a structure-free modelling paradigm is proposed to combine various modelling techniques in ?symbiosis? using a ?master fuzzy system?. This approach is shown to be able to include the advantages of different modelling techniques altogether by minimising efforts relating optimisation of final structure. The proposed approach is then successfully applied to predict machining induced residual stresses for aerospace alloy components as well as mechanical properties of heat-treated alloy steels.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.3182/20110828-6-IT-1002.00771
Subjects:	Q Science > Q Science (General) > Q335 Artificial intelligence T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Qian Zhang
Date Deposited:	18 Sep 2015 15:45 UTC
Last Modified:	16 Nov 2021 10:21 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/50544 (The current URI for this page, for reference purposes)

University of Kent Author Information

Zhang, Qian.

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