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Updated: Jan 29, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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基于主要组件分析和多重线性回归的松木磨削力影响因素

Bo Shen1,2, Dietrich Buck3, Ziyi Yuan1,2

  • 1Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, China.

Materials (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究利用主要成分分析 (PCA) 和多重线性回归 (MLR) 优化了木材磨削力. 混合模型确定了最佳的切割参数,大大降低了削力,以实现高效,低损坏的木材加工.

关键词:
切削工具切削工具切削工具切割工具切割工具切割工具切割工具切割工具切割工具切割工具切割工具切割工具切割工具多重线性回归 (MLR) 方法主要组成部分分析 (PCA)实木加工 实木加工 实木加工切割木材 切割木材 切割木材

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