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Updated: Jul 18, 2025

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IBGJO: 改进了二进制黄金子优化,使用混乱帐地图和特征选择的共弦相似性来进行特征选择

Kunpeng Zhang1, Yanheng Liu1,2, Fang Mei1,2

  • 1College of Computer Science and Technology, Jilin University, Changchun 130012, China.

Entropy (Basel, Switzerland)
|August 26, 2023
PubMed
概括

改进的二进制黄金子优化 (IBGJO) 算法通过提高融合速度和准确性来增强特征选择. 这种方法使用混乱的帐地图和共弦相似性来提高机器学习模型的性能.

关键词:
混乱的混乱的混乱的混乱这是分类分类的分类.代数等号相似性 代数等号相似性功能选择 功能选择金色的子优化优化机器学习是机器学习.

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