Robotics & Machine Learning Daily News2024,Issue(Dec.3) :64-65.

Lanzhou Jiaotong University Reports Findings in Machine Learning [Explainable machine learning models for predicting the acute toxicity of pestici des to sheepshead minnow (Cyprinodon variegatus)]

兰州交通大学报道了机器学习的发现[农药对绵羊小鲵(Cyprinodon variegatus)急性毒性预测的可解释机器学习模型]

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :64-65.

Lanzhou Jiaotong University Reports Findings in Machine Learning [Explainable machine learning models for predicting the acute toxicity of pestici des to sheepshead minnow (Cyprinodon variegatus)]

兰州交通大学报道了机器学习的发现[农药对绵羊小鲵(Cyprinodon variegatus)急性毒性预测的可解释机器学习模型]

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从中国人民共和国甘肃报道,研究表明,“定量的”对313种农药进行结构-活性关系(QSAR)研究,预测其急性毒性用龙的猛禽驱赶小鲤(Cyprinodon variegatus)要素核算在充分考虑经合组织(经合组织)的情况下,都仔细考虑了一个可靠的模式模式下QSAR监管可接受性的经济合作与发展原则L建设和评估过程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Gansu, People’s Republ ic of China, by NewsRx editors, research stated, “A quantitativestructure-activ ity relationship (QSAR) study was conducted on 313 pesticides to predict their a cute toxicityto Sheepshead minnow (Cyprinodon variegatus) by using DRAGON descr iptors. Essentials accounting fora reliable model were all considered carefully , giving full consideration to the OECD (Organization forEconomic Co-operation and Development) principles for QSAR acceptability in regulation during the model construction and assessment process.”

Key words

Gansu/People’s Republic of China/Asia/Agrochemicals/Cyborgs/Emerging Technologies/Machine Learning/Pesticides

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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