File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1117/12.235581
- Scopus: eid_2-s2.0-0029716720
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Parametric design by learning
Title | Parametric design by learning |
---|---|
Authors | |
Issue Date | 1996 |
Publisher | S 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? |
Abstract | Parametric 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 Identifier | http://hdl.handle.net/10722/158909 |
ISSN | 2023 SCImago Journal Rankings: 0.152 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, YH | en_US |
dc.date.accessioned | 2012-08-08T09:04:31Z | - |
dc.date.available | 2012-08-08T09:04:31Z | - |
dc.date.issued | 1996 | en_US |
dc.identifier.citation | Proceedings Of Spie - The International Society For Optical Engineering, 1996, v. 2644, p. 592-598 | en_US |
dc.identifier.issn | 0277-786X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158909 | - |
dc.description.abstract | Parametric 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.language | eng | en_US |
dc.publisher | S P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml | en_US |
dc.relation.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | en_US |
dc.title | Parametric design by learning | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Chen, YH:yhchen@hkucc.hku.hk | en_US |
dc.identifier.authority | Chen, YH=rp00099 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1117/12.235581 | - |
dc.identifier.scopus | eid_2-s2.0-0029716720 | - |
dc.identifier.volume | 2644 | en_US |
dc.identifier.spage | 592 | en_US |
dc.identifier.epage | 598 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Chen, YH=7601430448 | en_US |
dc.identifier.issnl | 0277-786X | - |