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Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique
Author(s) -
Manoj Khandelwal,
Danial Jahed Armaghani
Publication year - 2015
Publication title -
geotechnical and geological engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 56
eISSN - 1573-1529
pISSN - 0960-3182
DOI - 10.1007/s10706-015-9970-9
Subject(s) - ranking (information retrieval) , artificial neural network , mean squared error , genetic algorithm , correlation coefficient , compressive strength , variance (accounting) , statistics , ultimate tensile strength , regression analysis , data mining , engineering , computer science , mathematics , machine learning , materials science , accounting , business , composite material , metallurgy

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