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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm., , , и . ICCS (3), том 13352 из Lecture Notes in Computer Science, стр. 445-454. Springer, (2022)Global Surrogate Modeling by Neural Network-Based Model Uncertainty., , , , , и . ICCS (3), том 13352 из Lecture Notes in Computer Science, стр. 425-434. Springer, (2022)Shape Optimization of Trawl-doors Using Variable-fidelity Models and Space Mapping., , , , и . ICCS, том 51 из Procedia Computer Science, стр. 905-913. Elsevier, (2015)Multi-Objective Design Optimization of Planar Yagi-Uda Antenna Using Physics-Based Surrogates and Rotational Design Space Reduction., , и . ICCS, том 51 из Procedia Computer Science, стр. 885-894. Elsevier, (2015)Iterative Global Sensitivity Analysis Algorithm with Neural Network Surrogate Modeling., , , , и . ICCS (4), том 12745 из Lecture Notes in Computer Science, стр. 298-311. Springer, (2021)On Fast Multi-objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates., , и . ICCS (4), том 12745 из Lecture Notes in Computer Science, стр. 116-130. Springer, (2021)Surrogate Modeling of Ultrasonic Nondestructive Evaluation Simulations., , , , и . ICCS, том 80 из Procedia Computer Science, стр. 1114-1124. Elsevier, (2016)Computational Optimization, Modelling and Simulation: Past, Present and Future., , и . ICCS, том 29 из Procedia Computer Science, стр. 754-758. Elsevier, (2014)Physics-Based Surrogates for Low-Cost Modeling of Microwave Structures., , и . ICCS, том 18 из Procedia Computer Science, стр. 869-878. Elsevier, (2013)Transonic Airfoil Design by the Inverse Method using Variable-fidelity Modelling., , и . SIMULTECH, стр. 474-482. SciTePress, (2011)