Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junheung Park"'
Autor:
Junheung Park, Kyoung-Yun Kim
Publikováno v:
Applied Soft Computing. 51:354-369
Display Omitted MUGPSO provides efficiency for optimization problems associated with computationally expensive analysis and simulation tasks.Meta-models are constructed using GRNN and updated as the PSO run proceeds for better approximation of the so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1535edfd2b7150013751a685be89d989
https://doi.org/10.1016/j.asoc.2016.11.029
https://doi.org/10.1016/j.asoc.2016.11.029
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 43:18-29
Due to the complex nature of the welding process, the data used to construct prediction models often contain a significant amount of inconsistency. In general, this type of inconsistent data is treated as noise in the literature. However, for the wel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ef29e3d2bb50452d07911e81546f34
https://doi.org/10.1016/j.rcim.2016.01.002
https://doi.org/10.1016/j.rcim.2016.01.002
Autor:
Kyoung-Yun Kim, Junheung Park
Publikováno v:
Applied Soft Computing. 40:331-341
An approach to the function approximation problem using IVNN is presented.IVNN to apply less neighbors for noisy data and more neighbors for non-noisy data.IVNN solved by a PSO such that the prediction performance is maximized.IVNN requires no model/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293eeefbeedb33c075b0da6365ca0923
https://doi.org/10.1016/j.asoc.2015.10.055
https://doi.org/10.1016/j.asoc.2015.10.055
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79dcbf31d736ec43dbcce562be8d811d
https://doi.org/10.4271/2017-01-0244
https://doi.org/10.4271/2017-01-0244
Publikováno v:
Volume 2A: 41st Design Automation Conference.
In many design and manufacturing applications, data inconsistency or noise is common. These data can be used to create opportunities and/or support critical decisions in many applications, for example, welding quality prediction for material selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e279306828335e5c9419f2dbbaef1e77
https://doi.org/10.1115/detc2015-46236
https://doi.org/10.1115/detc2015-46236
Publikováno v:
Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::474cde2d8d6e0260c696295681b3c0e0
https://doi.org/10.1109/idam.2014.6912705
https://doi.org/10.1109/idam.2014.6912705
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42bef0212a360cfcb82c805ebc241737
https://doi.org/10.14809/faim.2014.0395
https://doi.org/10.14809/faim.2014.0395
Autor:
Junheung Park, Kyoung-Yun Kim
Publikováno v:
Journal of Manufacturing Science & Engineering; Oct2017, Vol. 139 Issue 10, p1-11, 11p