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Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network.

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Title: Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network.
Authors: Kean Thai Chhun1, Sang Inn Woo2, Chan-Young Yune1 yune@gwnu.ac.kr
Source: Science Progress. 1/31/2022, Vol. 105, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network.
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  Data: <searchLink fieldCode="AR" term="%22Kean+Thai+Chhun%22">Kean Thai Chhun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sang+Inn+Woo%22">Sang Inn Woo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chan-Young+Yune%22">Chan-Young Yune</searchLink><relatesTo>1</relatesTo><i> yune@gwnu.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Science+Progress%22">Science Progress</searchLink>. 1/31/2022, Vol. 105, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155990576
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        Value: 10.1177/00368504221075465
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network.
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            NameFull: Kean Thai Chhun
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            NameFull: Sang Inn Woo
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            NameFull: Chan-Young Yune
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            – D: 31
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              Text: 1/31/2022
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              Y: 2022
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