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[Example] add Predict_Composite_Strength #1181

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新增基于 Resnet 的复合材料极限抗拉强度(UTS)预测方案:

  • 技术方案:通过 ResNet18 迁移学习处理 CT 图像数据,结合五折交叉验证增强泛化性,采用集成学习提升小数据集下的预测精度;
  • 业务价值:突破实验级小数据集的训练瓶颈,助力研究人员快速评估材料力学性能,拓展 Paddle 框架在材料科学领域的应用场景。

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paddle-bot bot commented Jul 7, 2025

Thanks for your contribution!

@HydrogenSulfate HydrogenSulfate changed the title CNN_UTS [Example] add CNN_UTS Jul 8, 2025
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CLAassistant commented Jul 15, 2025

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Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
2 out of 3 committers have signed the CLA.

✅ Nolan-149
✅ HydrogenSulfate
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@Nolan-149 Nolan-149 changed the title [Example] add CNN_UTS [Example] add Predict_Composite_Strength Jul 15, 2025
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辛苦检查下提交的代码,看起来有很多无关的代码

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请不要删除与你的PR无关的代码文件,比如jointContribution文件夹

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请不要删除与你的PR无关的代码文件,比如jointContribution文件夹

好的,我重新修改一下

辛苦检查下提交的代码,看起来有很多无关的代码
CNN_UTS内是我提交的内容,这里面的部分代码包括了原文中的部分环节的复现。如若您指的是其他文件夹下的代码无关,可能是我fetch origin的时候把最近的更改同步到了本地的分支

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4 participants