Linel2D-Net:,2D线.

Anto Nivin Maria Antony1, Narendra Narisetti1, Evgeny Gladilin1

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research, OT Gatersleben, Corrensstr. 3, 06466 Seeland, Germany.

iScience
|April 10, 2024
PubMed
概括

本研究介绍了一种数据驱动的深度神经网络 (DNN) 方法,以有效地解决边界值问题 (BVPs). 该U-Net替代模型准确模拟线性弹性材料的行为,为传统的数值方法提供更快的替代方案.

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