Počet záznamů: 1
Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
- 1.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]
http://hdl.handle.net/11104/0187137
Citováno: 3
--- PILAT, M. - NERUDA, R. Aggregate meta-models for evolutionary multiobjective and many-objective optimization. NEUROCOMPUTING. ISSN 0925-2312, SEP 20 2013, vol. 116, SI, p. 392-402. [WOS]
--- THEUNISSEN, R. - GJELSTRUP, P. Adaptive sampling in higher dimensions for point-wise experimental measurement techniques. MEASUREMENT SCIENCE AND TECHNOLOGY. ISSN 0957-0233, AUG 2018, vol. 29, no. 8. [WOS]
--- ELMELIGY, A. - MEHRANI, P. - THIBAULT, J. Artificial Neural Networks as Metamodels for the Multiobjective Optimization of Biobutanol Production. APPLIED SCIENCES-BASEL. ISSN 2076-3417, JUN 2018, vol. 8, no. 6. [WOS]
Počet záznamů: 1