Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
Abstract
This paper investigates a series of experimental results and numerical simulations employed to estimate the deformation modulus of a stratified rock mass. The deformation modulus of rock mass has a significant importance for some applications in engineering geology and geotechnical projects including foundation, slope, and tunnel designs. Deformation modulus of a rock mass can be determined using large scale in-situ tests. This large scale...
Paper Details
Title
Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
Published Date
Mar 1, 2016
Journal
Volume
203
Pages
70 - 82
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