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A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study.

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第一作者： Mingyang,Zhong

第一单位： College of Artificial Intelligence, Southwest University, 400715, China. Electronic address: my.zhong@hotmail.com.

作者： Mingyang,Zhong ^[1] ; Jiahui,Wen ^[2] ; Jingwei,Ma ^[3] ; Hao,Cui ^[4] ; Qiuling,Zhang ^[5] ; Morteza Karimzadeh,Parizi ^[6]

作者单位： College of Artificial Intelligence, Southwest University, 400715, China. Electronic address: my.zhong@hotmail.com. ^[1] Defense Innovation Institute, 100085, China. Electronic address: Wen_jiahui@outlook.com. ^[2] School of Information Science and Engineering, Shandong Normal University, 250399, China. Electronic address: majingwei0824@gmail.com. ^[3] College of Artificial Intelligence, Southwest University, 400715, China. Electronic address: cuihaocqu@163.com. ^[4] College of Artificial Intelligence, Southwest University, 400715, China. Electronic address: 1569689196@qq.com. ^[5] Department of Computer Engineering,Faculty of Shahid Chamran, Kerman Branch,Technical and Vocational University (TVU), Kerman, Iran. Electronic address: mkarimzadeh313@gmail.com. ^[6]

关键词 COVID-19 Data classification Feature weighting Sine cosine algorithm Support vector machine

医学主题词人类(Humans);领导(Leadership);算法(Algorithms);规范(Benchmarking);医学(Medicine)

DOI 10.1016/j.compbiomed.2023.107212

PMID 37478712

发布时间 2023-09-11

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准确一般字义偏差语意偏离译文作用小提交