Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4243
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dc.contributor.authorSharif, AM-
dc.date.accessioned2010-04-15T13:21:31Z-
dc.date.available2010-04-15T13:21:31Z-
dc.date.issued1997-
dc.identifier.citationProceedings of the Portland International Conference on Management of Engineering and Technology, Portland, Oregon, USA, 27th – 31st July 1997. pp. 2550-2555en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/4243-
dc.description.abstractArtificial Intelligence (AI) approaches to Finite Element Analysis (FEA), have had tentative degrees of success over the last few years and some authors have argued that effective FEA can help in the manufacture reliability and safety aspects of engineered artefacts. The author of this paper reviews how such AI techniques have been applied and in this light, the author then uses a Fuzzy Cognitive Mapping (FCM), to develop a framework for the management of intelligence-assisted FEA.en
dc.language.isoenen
dc.publisherIEEEen
dc.titleThe management of intelligence-assisted finite element analysis technologyen
dc.typeConference Paperen
Appears in Collections:Business and Management
Brunel Business School Research Papers

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