Condition-Enhanced Generative Adversarial Network for aerodynamic configuration design of commercial aircraft
Read the original at arxiv.org→arXiv:2610.35963v1 Announce Type: new Abstract: Generative machine learning provides an end-to-end framework for aerodynamic design optimization by generating diverse aerodynamic configurations conditioned on target...
Original headline: "Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft"
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- Oct 28, 04:00 UTC arXiv cs.LG lead source Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft