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实现最佳KELM使用PSO-BOA优化策略与数据分类应用

Yinggao Yue1,2, Li Cao1, Haishao Chen1

  • 1School of Intelligent Manufacturing and Electronic Engineering, Wenzhou University of Technology, Wenzhou 325035, China.

Biomimetics (Basel, Switzerland)
|July 28, 2023
PubMed
概括

本研究介绍了一种用于多标签分类的新PSO-BOA-KELM算法,提高了Kernel极端学习机器 (KELM) 的性能. 它有效地优化了KELM参数,提高了复杂数据流的预测准确性.

关键词:
蝶优化算法是什么?概括能力,一般化能力.核心极端学习机器学习参数优化的参数优化粒子群集优化 粒子群集优化

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