THE APPLICATION OF ANALYSIS OF VARIANCE TO DIFFERENT YTTRIUM BARIUM COPPER OXIDE SUPERCONDUCTING TRANSITION TEMPERATURE MODELING

IF 0.2 Q4 MULTIDISCIPLINARY SCIENCES Suranaree Journal of Science and Technology Pub Date : 2023-12-13 DOI:10.55766/sujst-2023-05-e02267
A. Maksuwan, Arpapong Changjan, P. Pramuanl
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引用次数: 0

Abstract

Extensive research has been conducted on a modeling approach that contributes to predicting the critical temperature of Yttrium barium copper oxide (YBCO) materials. Statistical significance of differences in modeling approaches requires studies that can reliably distinguish between systematic approach effects and errors resulting from modeling approach variation. In this work, we introduce analysis of variance (ANOVA) to assess the statistical significance of differences in modeling approach variation. Comparisons of obtained results with YBCO modeling approach variation data of support vector machine (SVM) and linear regression with natural logarithm transformation (LRNLT) were presented.
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方差分析在不同钇钡铜氧化物超导转变温度建模中的应用
对有助于预测氧化钇钡铜(YBCO)材料临界温度的建模方法进行了广泛的研究。建模方法差异的统计意义要求研究能够可靠地区分系统方法效应和建模方法差异导致的误差。在这项工作中,我们引入了方差分析 (ANOVA) 来评估建模方法差异的统计意义。我们将获得的结果与支持向量机(SVM)和带自然对数转换的线性回归(LRNLT)的 YBCO 建模方法变化数据进行了比较。
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来源期刊
Suranaree Journal of Science and Technology
Suranaree Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
0.30
自引率
50.00%
发文量
0
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