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Updated: May 7, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

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使用优化相关性矢量机和长短期记忆模型,预测凝聚性土壤中混凝土堆的时间依赖承载能力

Jitendra Khatti1, Mohammadreza Khanmohammadi2, Yewuhalashet Fissha3,4

  • 1Department of Civil Engineering, Rajasthan Technical University, Kota, Rajasthan, 324010, India. jitendrakhatti197@gmail.com.

Scientific reports
|December 31, 2024
PubMed
概括

优化基因算法的高斯核相关向量机 (RVM) 模型,UBC7,证明了对混凝土堆承载能力的卓越预测. 这种先进的RVM模型在准确性和通用性方面优于其他RVM和长短期内存 (LSTM) 模型.

关键词:
混凝土堆是为了立.混合相关性矢量机器 混合相关性矢量机器长期短期记忆 长期短期记忆多对线性是多对线性的.时间依赖的承载能力.

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