Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Gabriel Kronberger"'
Autor:
Laura Millán, Gabriel Kronberger, Ricardo Fernández, Gizo Bokuchava, Patrice Halodova, Alberto Sáez-Maderuelo, Gaspar González-Doncel, J. Ignacio Hidalgo
Publikováno v:
Applications in Engineering Science, Vol 15, Iss , Pp 100141- (2023)
Metallurgical manufacturing processes commonly used in the industry (rolling, extrusion, shaping, machining, etc.) usually cause residual stress development which can remain after thermal heat treatments. These stresses can be detrimental for the in-
Externí odkaz:
https://doaj.org/article/0720b6eff2e7413f94cde84084b7a7ce
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 3, Iss 1, Pp 48-63 (2021)
Abstract Predictive models are increasingly deployed within smart manufacturing for the control of industrial plants. With this arises, the need for long‐term monitoring of model performance and adaptation of models if surrounding conditions change
Externí odkaz:
https://doaj.org/article/037e50db1ca64b3d899cb96d174e7e9c
Publikováno v:
Applications in Engineering Science, Vol 9, Iss , Pp 100080- (2022)
In material science, models are derived to predict emergent material properties (e.g. elasticity, strength, conductivity) and their relations to processing conditions. A major drawback is the calibration of model parameters that depend on processing
Externí odkaz:
https://doaj.org/article/8b3f4fc057cb4e718a6f391fbe360753
Autor:
Evgeniya Kabliman, Ana Helena Kolody, Johannes Kronsteiner, Michael Kommenda, Gabriel Kronberger
Publikováno v:
Applications in Engineering Science, Vol 6, Iss , Pp 100052- (2021)
In numerical process simulations, in-depth knowledge about material behavior during processing in the form of trustworthy material models is crucial. Among the different constitutive models used in the literature one can distinguish a physics-based a
Externí odkaz:
https://doaj.org/article/b74db3cc9c924642a5f9f34beb989d4e
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain
Autor:
Hannah Janout, Thomas Paier, Carina Ringelhahn, Michael Heckmann, Andreas Haghofer, Gabriel Kronberger, Stephan Winkler
Publikováno v:
Procedia Computer Science. 217:796-805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8948a7aa11fda951a6fd2c67f5b72ae
https://doi.org/10.1016/j.procs.2022.12.276
https://doi.org/10.1016/j.procs.2022.12.276
Autor:
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
Publikováno v:
Genetic and Evolutionary Computation ISBN: 9789811984594
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb1149d73f6b37f448cfc120eefde44
https://doi.org/10.1007/978-981-19-8460-0_1
https://doi.org/10.1007/978-981-19-8460-0_1
Publikováno v:
2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9efe75e7e5f7f9cc84ceda13cc4c16bf
https://doi.org/10.1109/synasc57785.2022.00054
https://doi.org/10.1109/synasc57785.2022.00054
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cdb8d36809c1433b8a7f5c48bd2aa5d
https://doi.org/10.1145/3512290.3528714
https://doi.org/10.1145/3512290.3528714
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 3, Iss 1, Pp 48-63 (2021)
Predictive models are increasingly deployed within smart manufacturing for the control of industrial plants. With this arises, the need for long‐term monitoring of model performance and adaptation of models if surrounding conditions change and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef92372279bbbfa9b7a50c642a0f9472
https://doi.org/10.1049/cim2.12009
https://doi.org/10.1049/cim2.12009
Publikováno v:
Soft Computing. 24:11283-11295
In this paper, we analyze the population diversity of grammatical evolution (GE) on multiple levels of genetic information: chromosome diversity, expression diversity, and output diversity. Thereby, we use a tree-similarity metric from tree-based GP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57e5abea3a2ef47cdc232d40ab214327
https://doi.org/10.1007/s00500-020-05062-9
https://doi.org/10.1007/s00500-020-05062-9