A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass
Abstract This article presents multivariate adaptive regression spline (MARS) for determination of elastic modulus ($ E_{j} $) of jointed rock mass. MARS is a technique to estimate general functions of high-dimensional arguments given sparse data. It is a nonlinear and non-parametric regression methodology. The input variables of model are joint frequency ($ J_{n} $), joint inclination parameter (n), joint roughness parameter (r), confining pressure ($ σ_{3} $) and elastic modulus ($ E_{i} $) of intact rock. The developed MARS gives an equation for determination of $ E_{j} $ of jointed rock mass. The results from the developed MARS model have been compared with those of artificial neural networks (ANNs) using average absolute error. The developed MARS gives a robust model for determination of $ E_{j} $ of jointed rock mass.
Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass
Abstract This article presents multivariate adaptive regression spline (MARS) for determination of elastic modulus ($ E_{j} $) of jointed rock mass. MARS is a technique to estimate general functions of high-dimensional arguments given sparse data. It is a nonlinear and non-parametric regression methodology. The input variables of model are joint frequency ($ J_{n} $), joint inclination parameter (n), joint roughness parameter (r), confining pressure ($ σ_{3} $) and elastic modulus ($ E_{i} $) of intact rock. The developed MARS gives an equation for determination of $ E_{j} $ of jointed rock mass. The results from the developed MARS model have been compared with those of artificial neural networks (ANNs) using average absolute error. The developed MARS gives a robust model for determination of $ E_{j} $ of jointed rock mass.
Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass
Samui, Pijush (author)
2012
Article (Journal)
Electronic Resource
English
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
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