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Zhong-Hua Wen

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Conference Open access Aug 2026

Generation and optimization of aerodynamic shapes for aircraft based on generative adversarial networks

To address the critical issues of low efficiency and lack of innovation in traditional aircraft aerodynamic shape design, this paper proposes an intelligent design method based on Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) and TensorFlow 2.x. A foundational dataset containing 12,000 airf...

Shu-Kai Lin, Zhong-Hua Wen, Xiong Lin et al. · 0 citations

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