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Conference Paper: Parametric design by learning

TitleParametric design by learning
Authors
Issue Date1996
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 1996, v. 2644, p. 592-598 How to Cite?
AbstractParametric design is an effective and productive tool for the definition and modification of geometric models. This paper presents an intelligent method for the creation of a parametric model. In the proposed method, an adaptive neural network model is built to map the set of dimensional parameters to a set of coordinates. Defining a parametric model is equivalent to teaching the neural network. The user needs only specify a set of dimensional parameters that defines the parametric model and teach the neural network how to react to the changes of the dimensional parameters. Once the neural net work is taught, any dimensional changes will result in corresponding coordinate changes. This novel method eliminate the need of programming or graphic interaction that are normally required by contemporary parametric design systems.
Persistent Identifierhttp://hdl.handle.net/10722/158909
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChen, YHen_US
dc.date.accessioned2012-08-08T09:04:31Z-
dc.date.available2012-08-08T09:04:31Z-
dc.date.issued1996en_US
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 1996, v. 2644, p. 592-598en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/158909-
dc.description.abstractParametric design is an effective and productive tool for the definition and modification of geometric models. This paper presents an intelligent method for the creation of a parametric model. In the proposed method, an adaptive neural network model is built to map the set of dimensional parameters to a set of coordinates. Defining a parametric model is equivalent to teaching the neural network. The user needs only specify a set of dimensional parameters that defines the parametric model and teach the neural network how to react to the changes of the dimensional parameters. Once the neural net work is taught, any dimensional changes will result in corresponding coordinate changes. This novel method eliminate the need of programming or graphic interaction that are normally required by contemporary parametric design systems.en_US
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.titleParametric design by learningen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, YH:yhchen@hkucc.hku.hken_US
dc.identifier.authorityChen, YH=rp00099en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0029716720en_US
dc.identifier.volume2644en_US
dc.identifier.spage592en_US
dc.identifier.epage598en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridChen, YH=7601430448en_US

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