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0345993 - ÚI 2011 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Holeňa, Martin - Linke, D. - Rodemerck, U. - Bajer, Lukáš
Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.
Analytical and Stochastic Modeling Techniques and Applications. Berlin: Springer, 2010 - (Al-Begain, K.; Fiems, D.; Knottenbelt, W.), s. 351-366. Lecture Notes in Computer Science, 6148. ISBN 978-3-642-13567-5. ISSN 0302-9743.
[ASMTA 2010. International Conference /17./. Cardiff (GB), 14.06.2010-16.06.2010]
Grant CEP: GA ČR GA201/08/0802
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: functions evaluated via measurements * evolutionary optimization * surrogate modelling * neural networks * boosting
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0187137
Holeňa, Martin - Linke, D. - Rodemerck, U. - Bajer, Lukáš
Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.
Analytical and Stochastic Modeling Techniques and Applications. Berlin: Springer, 2010 - (Al-Begain, K.; Fiems, D.; Knottenbelt, W.), s. 351-366. Lecture Notes in Computer Science, 6148. ISBN 978-3-642-13567-5. ISSN 0302-9743.
[ASMTA 2010. International Conference /17./. Cardiff (GB), 14.06.2010-16.06.2010]
Grant CEP: GA ČR GA201/08/0802
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: functions evaluated via measurements * evolutionary optimization * surrogate modelling * neural networks * boosting
Kód oboru RIV: IN - Informatika
Trvalý link: http://hdl.handle.net/11104/0187137