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Updated: Jun 13, 2025

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机器学习预测建模用于在没有抗生素的养肉中进行谴责风险评估

Pranee Pirompud1, Panneepa Sivapirunthep2, Veerasak Punyapornwithaya3

  • 1Doctoral Program in Innovative Tropical Agriculture, Department of Agricultural Education, Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520.

Poultry science
|September 11, 2024
PubMed
概括

机器学习模型可以预测高肉的死亡率,减少家禽业的损失. 随机采样的随机森林被证明是最有效的,识别了身体重量和 lairage 时间等关键因素.

关键词:
美国的定罪率.lairage 时间 时间死亡率和灭绝率的情况.采样技术 采样技术每个箱子的重量.

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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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