Artificial neural networks approach for zeta potential of Montmorillonite in the presence of different cations

Environmental Geology

Volumn 54, Issue 5, 2008, Pages 1059-1066

  Yukselen, Yeliz ^a   Erzin, Yusuf ^b  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

^b CELAL BAYAR UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Contamination; Heavy metals; Montmorillonite; Zeta potential

Indexed keywords

CONTAMINATION; HEAVY METALS; NEURAL NETWORKS; PH; POSITIVE IONS; ZETA POTENTIAL;

PREDICTION CAPACITY; ROOT MEAN SQUARE ERROR;

CLAY MINERALS;

ARTIFICIAL NEURAL NETWORK; CATION; COMPARATIVE STUDY; COMPUTER SIMULATION; ELECTRICAL PROPERTY; EXPERIMENTAL STUDY; HEAVY METAL; MONTMORILLONITE; PERFORMANCE ASSESSMENT; PH; UNCERTAINTY ANALYSIS;

EID: 42449124121     PISSN: 09430105     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00254-007-0872-x     Document Type: Article

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