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Regression analysis and ANN models to predict rock properties from sound levels produced during drilling
B. Rajesh Kumar
*
, Harsha Vardhan
, M. Govindaraj
,
G. S. Vijay
*
Corresponding author for this work
School of Mechanical Engineering
Research output
:
Contribution to journal
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Article
›
peer-review
75
Citations (Scopus)
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INIS
levels
100%
regression analysis
100%
rocks
100%
drilling
100%
neural networks
66%
drill bits
66%
comparative evaluations
33%
porosity
33%
prediction
33%
velocity
33%
tensile strength
33%
speed
33%
density
33%
elasticity
33%
compression strength
33%
rubidium fluorides
33%
p waves
33%
Engineering
Sound Level
100%
Artificial Neural Network
100%
Drill Bit
66%
Input Parameter
33%
Uniaxial Compressive Strength
33%
Penetration Rate
33%
Prediction Capability
33%
Bit Diameter
33%
Ultimate Tensile Strength
33%
Wave Velocity
33%
Dry Density
33%
Neural Network Approach
33%
Modulus of Elasticity
33%
Porosity
33%