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Updated: May 11, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Published on: December 9, 2012

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优化SVR与自然启发的算法,用于食品虚拟水样中的真菌毒素的环境建模

Abdullahi G Usman1,2, Sagiru Mati3,4, Hanita Daud5

  • 1Department of Analytical Chemistry, Faculty of Pharmacy, Near East University, 99138, Nicosia, Turkish Republic of Northern Cyprus. abdullahigusman@gmail.com.

Scientific reports
|May 13, 2025
PubMed
概括

这项研究引入了一种机器学习模型,将支持向量回归与哈里斯霍克斯优化 (SVR-HHO) 结合起来,以准确地预测食物中的真菌毒素. 这种先进的方法提高了食品安全和监管合规性.

关键词:
食物虚拟水样 食物虚拟水样哈里斯 - 霍克斯优化优化机器学习是机器学习.菌毒素 (Mycotoxins) 是一种有毒的物质.保存时间 保存时间

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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

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