通过应用于机器学习的快速优化技术预测乳腺癌

IF 1.6 3区数学 Q2 MATHEMATICS, APPLIED

Optimization Pub Date : 2024-07-31 DOI:10.1080/02331934.2024.2385646

Watcharaporn Cholamjiak, Yekini Shehu, Jen-Chih Yao

引用次数: 0

摘要

本文研究了新的加速优化算法，并通过机器学习方法将这些算法应用于乳腺癌的预测。我们首先介绍了新的快速 CQ 算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optimization 数学-应用数学

CiteScore

4.50

自引率

9.10%

发文量

146

审稿时长

4.5 months

期刊介绍： Optimization publishes refereed, theoretical and applied papers on the latest developments in fields such as linear, nonlinear, stochastic, parametric, discrete and dynamic programming, control theory and game theory. A special section is devoted to review papers on theory and methods in interesting areas of mathematical programming and optimization techniques. The journal also publishes conference proceedings, book reviews and announcements. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.