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Updated: Jun 29, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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特性选择的遗传算法应用于金融时间序列单调性预测:加密货币和巴西资产的实验案例

Rodrigo Colnago Contreras1,2, Vitor Trevelin Xavier da Silva2, Igor Trevelin Xavier da Silva2

  • 1Department of Computer Science and Statistics, Institute of Biosciences, Letters and Exact Sciences, São Paulo State University (UNESP), São José do Rio Preto 15054-000, SP, Brazil.

Entropy (Basel, Switzerland)
|March 28, 2024
PubMed
概括

这项研究使用机器学习和遗传算法来预测金融时间序列的每日运动方向,包括比特币和Ibovespa. 功能选择改善了这些加密货币和股票市场预测的模型性能.

关键词:
比特币 比特币 比特币 比特币功能选择 功能选择预测 预测 预测 预测遗传算法是一种遗传算法.机器学习是机器学习.时间序列时间序列

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