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Updated: Jun 28, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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开发一种新的股票指数趋势预测模型,通过将多个标准的决策与一个优化的在线顺序极端学习机器进行整合

Sidharth Samal1, Rajashree Dash1

  • 1Computer Science and Engineering Department, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, Odisha India.

Granular computing
|April 16, 2024
PubMed
概括

研究人员通过将多重标准决策 (MCDM) 与优化的在线顺序极端学习机器 (OSELM) 集成,开发了一种新的股票市场趋势预测器. 这种先进的模型准确地预测股票价格和趋势,优于金融时间序列分析的现有方法.

关键词:
搜索群众搜索 搜索群众搜索 搜索群众搜索在ELM中,可以选择ELM.在MCDM中,MCDM是MCDM.欧塞尔姆 欧塞尔姆 是一个股票指数趋势分析

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