Feature-based environmental issues: Neural network-based feature recognition
dc.contributor.buuauthor | Öztürk, Ferruh | |
dc.contributor.buuauthor | Öztürk, Nursel | |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik ve Mimarlık Fakültesi/Makine Mühendisliği Bölümü. | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. | tr_TR |
dc.contributor.researcherid | AAG-9336-2021 | tr_TR |
dc.contributor.researcherid | AAG-9923-2021 | tr_TR |
dc.contributor.scopusid | 56271685800 | tr_TR |
dc.contributor.scopusid | 7005688805 | tr_TR |
dc.date.accessioned | 2021-11-19T11:41:51Z | |
dc.date.available | 2021-11-19T11:41:51Z | |
dc.date.issued | 1999 | |
dc.description.abstract | Today, the automotive industry is faced with more pressure to realize higher quality products, lower production costs and shorter lead times. The key to the success of organizations is the effective integration of design and other downstream applications such as machining, process planning, analysis, assembly, inspection etc. This paper reviews the current research in feature recognition and neural network applications in feature-based environment. The central issues associated with feature-based environment and drawbacks of the current approaches are addressed. The future research directions and proposals to overcome the shortcomings are presented. | en_US |
dc.identifier.citation | Öztürk, F. ve Öztürk, N. (1999). "Feature-based environmental issues: Neural network-based feature recognition". International Journal of Vehicle Design, 21(2-3), 190-204. | en_US |
dc.identifier.endpage | 204 | tr_TR |
dc.identifier.issn | 0143-3369 | |
dc.identifier.issue | 2-3 | tr_TR |
dc.identifier.scopus | 2-s2.0-0345201762 | tr_TR |
dc.identifier.startpage | 190 | tr_TR |
dc.identifier.uri | https://doi.org/10.1504/IJVD.1999.005576 | |
dc.identifier.uri | http://www.inderscience.com/offer.php?id=5576 | |
dc.identifier.uri | http://hdl.handle.net/11452/22735 | |
dc.identifier.volume | 21 | tr_TR |
dc.identifier.wos | 000080520900006 | tr_TR |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Inderscience Enterprises | en_US |
dc.relation.journal | International Journal of Vehicle Design | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Engineering | en_US |
dc.subject | Transportation | en_US |
dc.subject | Feature-based design | en_US |
dc.subject | Feature recognition | en_US |
dc.subject | Neural network | en_US |
dc.subject | Boundary representations | en_US |
dc.subject | Manufacturing features | en_US |
dc.subject | Feature-extraction | en_US |
dc.subject | Form features | en_US |
dc.subject | Solid models | en_US |
dc.subject | Components | en_US |
dc.subject | System integration | en_US |
dc.subject | Heuristics | en_US |
dc.subject | Environmental impact | en_US |
dc.subject | Environmental protection | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Automobile manufacture | en_US |
dc.subject.scopus | Computer Aided Process Planning; Feature Recognition; Machining | en_US |
dc.subject.wos | Engineering, mechanical | en_US |
dc.subject.wos | Transportation science & technology | en_US |
dc.title | Feature-based environmental issues: Neural network-based feature recognition | en_US |
dc.type | Article | |
dc.wos.quartile | Q4 | en_US |
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