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Updated: Jun 29, 2025

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通过生成对抗网络利用合成近红外光谱来改善木材刚度预测

Syed Danish Ali1,2, Sameen Raut3, Joseph Dahlen3

  • 1USDA Forest Service, Forest Products Laboratory, Madison, WI 53726, USA.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

生成对抗网络 (GAN) 增强了近红外 (NIR) 光谱模型,用于预测木材特性. 用GAN增强数据提高了预测准确度,证明了它们对木材机械性能非破坏性评估 (NDE) 的价值.

关键词:
卷积神经网络 (CNN) 是一种神经网络.数据增强数据增强深度学习是一种深度学习.组合学习组合学习生成式对抗网络 (GAN) 是一种产生式对抗网络.梯度增强机器 (GBM) 是一种增强梯度机器.弹性模块 (MOE) 是指弹性的模块.材质:木材材料,木材材料.

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