Artificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Development

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dc.contributor.authorFeldhusen, J.
dc.contributor.authorNagarajah, A.
dc.contributor.editorRajkumar Roy
dc.contributor.editorEssam Shehab
dc.date.accessioned2009-10-06T10:36:10Z
dc.date.available2009-10-06T10:36:10Z
dc.date.copyright2009
dc.date.issued2009-03-31
dc.descriptionOrganised by: Cranfield Universityen_UK
dc.description.abstractThis paper describes an approach to apply Artificial Neural Network (ANN) to support the developer to optimize the conceptual design of Adaptable Product Development. The ANN learn from the previously mapping between the requirements and the product solutions. For a new development Process of an Adaptable Product the ANN analyse existing solution and sort them according to their probability of success. The advantages of this approach is on the one hand that ANN is able to identify the best suitable product solution for a new development order and on other hand the ANN automatically store the knowledge of the developer.en_UK
dc.description.sponsorshipMori Seiki – The Machine Tool Companyen_UK
dc.identifier.citationJ. Feldhusen, A. Nagarajah, Artificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Development, Proceedings of the 19th CIRP Design Conference – Competitive Design, Cranfield University, 30-31 March 2009, pp51en_UK
dc.identifier.isbn978-0-9557436-4-1
dc.identifier.urihttp://hdl.handle.net/1826/3777
dc.language.isoenen_UK
dc.publisherCranfield University Pressen_UK
dc.relation.ispartofProceedings of the 19th CIRP Design Conference – Competitive Design
dc.rightsCopyright: Cranfield University 2009
dc.subjectProduct Development Processen_UK
dc.subjectEngineering Designen_UK
dc.subjectNeural Networken_UK
dc.subjectAdaptable Productsen_UK
dc.titleArtificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Developmenten_UK
dc.typeConference paperen_UK

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19th CIRP Design Conference – Competitive Design, 2009