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| dc.contributor.author | Feldhusen, J. | |
| dc.contributor.author | Nagarajah, A. | |
| dc.contributor.editor | Rajkumar Roy | |
| dc.contributor.editor | Essam Shehab | |
| dc.date.accessioned | 2009-10-06T10:36:10Z | |
| dc.date.available | 2009-10-06T10:36:10Z | |
| dc.date.copyright | 2009 | |
| dc.date.issued | 2009-03-31 | |
| dc.identifier.citation | J. 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, pp51 | en_UK |
| dc.identifier.isbn | 978-0-9557436-4-1 | |
| dc.identifier.uri | http://hdl.handle.net/1826/3777 | |
| dc.description | Organised by: Cranfield University | en_UK |
| dc.description.abstract | This 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.sponsorship | Mori Seiki – The Machine Tool Company | en_UK |
| dc.language.iso | en | en_UK |
| dc.publisher | Cranfield University Press | en_UK |
| dc.relation.ispartof | Proceedings of the 19th CIRP Design Conference – Competitive Design | |
| dc.rights | Copyright: Cranfield University 2009 | |
| dc.subject | Product Development Process | en_UK |
| dc.subject | Engineering Design | en_UK |
| dc.subject | Neural Network | en_UK |
| dc.subject | Adaptable Products | en_UK |
| dc.title | Artificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Development | en_UK |
| dc.type | Conference paper | en_UK |
