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Volumn 177, Issue 5, 2014, Pages 775-782

Using support vector machines to predict cation exchange capacity of different soil horizons in Qingdao City, China

Author keywords

Artificial neural network; Cation exchange capacity; Sensitivity analysis; Support vector machines

Indexed keywords


EID: 84925878514     PISSN: 14368730     EISSN: 15222624     Source Type: Journal    
DOI: 10.1002/jpln.201300176     Document Type: Article
Times cited : (22)

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