Optimization Method Based on Machine Learning for College Students’ Psychological Control Source Propensity Classification

IF 0.8 4区材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Journal of Testing and Evaluation Pub Date : 2024-03-06 DOI:10.1520/jte20230078

Jing Wang

引用次数: 0

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基于机器学习的大学生心理控制源倾向分类优化方法

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

Journal of Testing and Evaluation 工程技术-材料科学：表征与测试

CiteScore

2.30

自引率

8.30%

发文量

221

审稿时长

6.7 months

期刊介绍： This journal is published in six issues per year. Some issues, in whole or in part, may be Special Issues focused on a topic of interest to our readers. This flagship ASTM journal is a multi-disciplinary forum for the applied sciences and engineering. Published bimonthly, the Journal of Testing and Evaluation presents new technical information, derived from field and laboratory testing, on the performance, quantitative characterization, and evaluation of materials. Papers present new methods and data along with critical evaluations; report users'' experience with test methods and results of interlaboratory testing and analysis; and stimulate new ideas in the fields of testing and evaluation. Major topic areas are fatigue and fracture, mechanical testing, and fire testing. Also publishes review articles, technical notes, research briefs and commentary.