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Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil
Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil
Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil
Amegashie, F. (Autor:in) / Shang, J. Q. (Autor:in) / Yanful, E. K. (Autor:in) / Ding, W. (Autor:in) / Al-Martini, S. (Autor:in)
CANADIAN GEOTECHNICAL JOURNAL ; 43 ; 100-109
01.01.2006
10 pages
Aufsatz (Zeitschrift)
Englisch
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British Library Online Contents | 2004
|Soil Characterization Using Complex Permittivity and Artificial Neural Networks
British Library Online Contents | 2004
|Complex permittivity measurement system for detecting soil contamination
British Library Online Contents | 2001
|