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Updated: Jun 14, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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机器学习算法和多重线性回归的比较,用于估计阿卡拉曼羔羊的活体重

Özge Kozaklı1, Ayhan Ceyhan2, Mevlüt Noyan3

  • 1Department of Animal Production and Technologies, Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, Niğde, 51240, Turkey. ozgekozakli94@hotmail.com.

Tropical animal health and production
|September 3, 2024
PubMed
概括

机器学习算法,特别是随机森林,准确地预测阿卡拉曼羊羔断奶后的体重. 这项研究比较了各种模型,发现随机森林优于传统方法,例如用于牲畜体重预测的多重线性回归.

关键词:
人工神经网络分析通过K-Fold交叉验证.活体重量 活体重量随机的森林 随机的森林

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