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Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest.

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Title: Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest.
Authors: Su, Weidi1,2 (AUTHOR), Cheng, Yaofei1,2,3 (AUTHOR), Wei, Li2,3 (AUTHOR) 2210391066@st.gxu.edu.cn, Zhong, Guangda1,2,4 (AUTHOR), Zhou, Linxiao1,3 (AUTHOR), Liu, Fei2,3,4 (AUTHOR), Xie, Kaizhong2,4 (AUTHOR)
Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 12, p2511. 27p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194907585
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PubTypeId: academicJournal
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  Data: Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Jun2026, Vol. 19 Issue 12, p2511. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194907585
RecordInfo BibRecord:
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        Value: 10.3390/ma19122511
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      – Code: eng
        Text: English
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        StartPage: 2511
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      – TitleFull: Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest.
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            NameFull: Su, Weidi
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            NameFull: Cheng, Yaofei
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            NameFull: Zhou, Linxiao
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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