Estimation of formation strength index of aquifer from neural networks

Computers and Geosciences

Volumn 35, Issue 9, 2009, Pages 1933-1939

  Hsieh, Bieng Zih ^a   Wang, Chih Wen ^a   Lin, Zsay Shing ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Back propagation neural networks; Geophysical well logs; Groundwater; Soft computing

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; DATA SETS; FORMATION DENSITY; GEOPHYSICAL WELL LOGS; HIDDEN LAYERS; INPUT LAYERS; LEARNING RATES; LOG DATA; MOMENTUM CONSTANT; NETWORK LEARNING; NETWORK PREDICTION; OUTPUT LAYER; OUTPUT VALUES; SHEAR MODULUS; STRENGTH INDEXES; TARGET VALUES; TESTING DATA; THREE-LAYER; TRAINING DATA SETS; WELL LOGGING DATA; WELL LOGS;

ABILITY TESTING; AQUIFERS; BACKPROPAGATION; BLOCK CODES; COMPUTER SCIENCE; GAMMA RAYS; GEOPHYSICS; GROUNDWATER RESOURCES; HYDROGEOLOGY; LEARNING ALGORITHMS; MEAN SQUARE ERROR; NEURAL NETWORKS; RADIOACTIVITY LOGGING; SOFT COMPUTING; STATISTICAL PROCESS CONTROL;

STATISTICAL TESTS;

AQUIFER; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; GROUNDWATER; MODELING; WELL LOGGING;

EID: 68849115559     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2008.11.010     Document Type: Article

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