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Neural Networks as Surrogate Models for Measurements in Optimization Algorithms

SYSNO	0345993
Title	Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
Author(s)	Holeňa, Martin (UIVT-O)_{SAI, RID} Linke, D. (DE) Rodemerck, U. (DE) Bajer, Lukáš (UIVT-O)_{SAI, RID, ORCID}
Source Title	Analytical and Stochastic Modeling Techniques and Applications. S. 351-366. - Berlin : Springer, 2010 / Al-Begain K. ; Fiems D ; Knottenbelt W.
Conference	ASMTA 2010. International Conference /17./, Cardiff, 14.06.2010-16.06.2010
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA201/08/0802 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
Language	eng
Country	DE
Keywords	functions evaluated via measurements * evolutionary optimization * surrogate modelling * neural networks * boosting
Permanent Link	http://hdl.handle.net/11104/0187137

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Number of the records: 1