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[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
A review of the artificial neural network surrogate modeling in aerodynamic design
G Sun, S Wang - … of the Institution of Mechanical Engineers …, 2019 - journals.sagepub.com
Artificial neural network surrogate modeling with its economic computational consumption
and accurate generalization capabilities offers a feasible approach to aerodynamic design …
and accurate generalization capabilities offers a feasible approach to aerodynamic design …
Review of multi-fidelity models
MG Fernández-Godino - ar**/links/5efeacf6299bf18816fcdd80/Aerodynamic-Inverse-Design-Using-Multifidelity-Models-and-Manifold-Map**.pdf" data-clk="hl=sr&sa=T&oi=gga&ct=gga&cd=9&d=1708592659388195951&ei=YDTDZ5LvB5eY6rQPjuS70As" data-clk-atid="b2SsoPgjthcJ" target="_blank">[PDF] researchgate.net
Aerodynamic inverse design using multifidelity models and manifold map**
Aerodynamic inverse design is proposed using multifidelity models and the manifold
map** (MM) technique. Aerodynamic inverse design aims at achieving a target …
map** (MM) technique. Aerodynamic inverse design aims at achieving a target …