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Updated: Jan 30, 2026

Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants
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在Barmshour垃圾填埋场稳定性分析中预测城市固体废物层的机械行为

Mohammad Mehdi Mokhtari1, Amin Falamaki2, Mahmood Vafaeian3

  • 1Department of Civil Engineering, Isf. C., Islamic Azad University, Isfahan, Iran.

Scientific reports
|January 28, 2026
PubMed
概括

混合元启发-神经模型增强城市固体废物 (MSW) 垃圾填埋场斜坡稳定性的预测. MVO-MLP模型表现出卓越的准确性,为废物工程中的地质技术风险管理提供了可靠的工具.

关键词:
地质技术工程地质技术工程混合神经网络是一种神经网络.超启发式优化优化方法斜坡的稳定性 斜坡的稳定性

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