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Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations.

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Title: Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations.
Authors: Li, Hongchao1, 20160032@kust.edu.cn, Hosseini, Shahab2, h.seyyedshahab@modares.ac.ir, Gordan, Behrouz3, bh.gordan@yahoo.com, Zhou, Jian4, j.zhou@csu.edu.cn, Ullah, Sajid5, sajidjalwan@gmail.com
Source: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-53, 53p
Database: Applied Science & Technology Source
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Header DbId: aci
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  Data: Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Hongchao%22">Li, Hongchao</searchLink><relatesTo>1</relatesTo>, <i>20160032@kust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Hosseini%2C+Shahab%22">Hosseini, Shahab</searchLink><relatesTo>2</relatesTo>, <i>h.seyyedshahab@modares.ac.ir</i><br /><searchLink fieldCode="AU" term="%22Gordan%2C+Behrouz%22">Gordan, Behrouz</searchLink><relatesTo>3</relatesTo>, <i>bh.gordan@yahoo.com</i><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Jian%22">Zhou, Jian</searchLink><relatesTo>4</relatesTo>, <i>j.zhou@csu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Ullah%2C+Sajid%22">Ullah, Sajid</searchLink><relatesTo>5</relatesTo>, <i>sajidjalwan@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Apr2025, Vol. 58 Issue 4, p1-53, 53p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182599707
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        Value: 10.1007/s10462-024-11099-1
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      – Code: eng
        Text: English
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      – TitleFull: Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations.
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            NameFull: Li, Hongchao
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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