Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil

Author: Amegashie F   Shang J Q   Yanful E K   Ding W   Al-Martini S  

Publisher: NRC Research Press

ISSN: 1208-6010

Source: Canadian Geotechnical Journal, Vol.43, Iss.1, 2006-01, pp. : 100-109

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract