开发智能拟合算法来识别时间序列数据中的随机扰动

Peer Community In Animal Science Pub Date : 2019-08-07 DOI:10.24072/pci.animsci.100001

L. Tedeschi

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摘要

基于Alberto Atzori, Jennifer Spencer和一位匿名评论者对该文章的评论的推荐:Ben Abdelkrim, A.， Puillet, L.， Gomes, P.和Martin O.(2019)。具有扰动显式表示的哺乳曲线模型作为奶牛精准养殖的表型工具。生物工程学报，661249版。4篇经PCI动物科学同行评审推荐。doi: 10.1101/661249

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Developing smart fitting algorithms to identify random perturbations in time-series data

A recommendation – based on reviews by Alberto Atzori, Jennifer Spencer and one anonymous reviewer – of the article: Ben Abdelkrim, A., Puillet, L., Gomes, P., and Martin O. (2019). Lactation curve model with explicit representation of perturbations as a phenotyping tool for dairy livestock precision farming. bioRxiv, 661249 ver. 4 peer-reviewed and recommended by PCI Animal Science. doi: 10.1101/661249

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Peer Community In Animal Science

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