Results 11 to 20 of about 185,885 (248)
Cost-Efficient Bi-Layer Modeling of Antenna Input Characteristics Using Gradient Kriging Surrogates
IEEE Access, 2020 Over the recent years, surrogate modeling has been playing an increasing role in the design of antenna structures. The main incentive is to mitigate the issues related to high cost of electromagnetic (EM)-based procedures.
Anna Pietrenko-Dabrowska +2 more
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Sequential optimization of strip bending process using multiquadric radial basis function surrogate models [PDF]
, 2013 Surrogate models are used within the sequential optimization strategy for forming processes. A sequential improvement (SI) scheme is used to refine the surrogate model in the optimal region. One of the popular surrogate modeling methods for SI is Kriging.
Boogaard, A.H. van den +2 more
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IET Electric Power Applications, 2022 Electrical machine design optimization is an expensive procedure as it contains numerous variables and multiple objectives. Therefore, it might require hundreds of time‐consuming finite element analyses (FEA).
Farnam Farshbaf Roomi +2 more
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Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning [PDF]
, 2017 The Wind Farm Layout Optimization problem involves finding the optimal positions for wind turbines on a wind farm site. Current Metahueristic based methods make use of a combination of turbine specifications and parameters, mathematical models and ...
Mayo, Michael +2 more
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Surrogate modeling of RF circuit blocks [PDF]
, 2010 Surrogate models are a cost-effective replacement for expensive computer simulations in design space exploration. Literature has already demonstrated the feasibility of accurate surrogate models for single radio frequency (RF) and microwave devices ...
Croon, Jeroen A +3 more
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Materials & Design, 2019 Inspired by gradient structures in the nature, Gradient Nanostructured (GNS) metals have emerged as a new class of materials with tunable microstructures.
Xin Chen, Haofei Zhou, Yumeng Li
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Engineering Applications of Computational Fluid Mechanics, 2022 Extremely complex flow channels and multi-parameter, highly nonlinear thermal fluid–structure interactions are the main factors restricting the exploration mechanism and optimal design of explosion-proof valves.
Chaoyong Zong +6 more
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The SUMO toolbox: a tool for automatic regression modeling and active learning [PDF]
, 2013 Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alternative.
Couckuyt, Ivo +4 more
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A Surrogate Model of Gravitational Waveforms from Numerical Relativity Simulations of Precessing Binary Black Hole Mergers [PDF]
, 2017 We present the first surrogate model for gravitational waveforms from the coalescence of precessing binary black holes. We call this surrogate model NRSur4d2s. Our methodology significantly extends recently introduced reduced-order and surrogate modeling
Blackman, Jonathan +6 more
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IEEE Access, 2020 This paper presents an innovative modeling strategy for the construction of efficient and compact surrogate models for the uncertainty quantification of time-domain responses of digital links. The proposed approach relies on a two-step methodology. First,
Paolo Manfredi, Riccardo Trinchero
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