Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation

Water Resources Management

Volumn 28, Issue 4, 2014, Pages 1173-1184

  Tayfur, Gokmen ^a   Nadiri, Ata A ^b   Moghaddam, Asghar A ^b  

^a IZMIR INSTITUTE OF TECHNOLOGY   (Turkey)

^b UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Artificial intelligence methods; Heteregenous aquifer; Hydraulic conductivity; Supervised intelligence committee machine; Tasuj plain

Indexed keywords

ACCEPTABLE PERFORMANCE; ARTIFICIAL INTELLIGENCE METHODS; COMMITTEE MACHINES; CONDUCTIVITY ESTIMATION; HETEROGENEOUS AQUIFERS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; SUPERVISED ARTIFICIAL NEURAL NETWORKS; TASUJ PLAIN;

AQUIFERS; ESTIMATION; FUZZY LOGIC; GROUNDWATER RESOURCES; HYDROGEOLOGY; NEURAL NETWORKS;

HYDRAULIC CONDUCTIVITY;

AQUIFER; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FLOW MODELING; FUZZY MATHEMATICS; HYDRAULIC CONDUCTIVITY; HYDROGEOLOGY; PREDICTION;

EAST AZERBAIJAN; IRAN; TASUJ PLAIN AQUIFER;

EID: 84896738245     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-014-0553-y     Document Type: Article

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