Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements
- 1 March 2017
- journal article
- research article
- Published by Springer Nature in Bulletin of Engineering Geology and the Environment
- Vol. 77 (3) , 1191-1202
Abstract
No abstract availableKeywords
Funding Information
- Development of a system for safety management of high dams in the Republic of Serbia (TR37013)
This publication has 27 references indexed in Scilit:
- A comparative study for empirical equations in estimating deformation modulus of rock massesTunnelling and Underground Space Technology, 2012
- A comparative study of the determination of rock mass deformation modulus by using different empirical approachesEngineering Geology, 2012
- Levenberg–Marquardt Training2011
- Indirect estimation of the rock deformation modulus based on polynomial and multiple regression analyses of the RMR systemInternational Journal of Rock Mechanics and Mining Sciences, 2009
- Evaluation of effect of blasting pattern parameters on back break using neural networksInternational Journal of Rock Mechanics and Mining Sciences, 2008
- Artificial neural network for stress–strain behavior of sandy soils: Knowledge based verificationComputers and Geotechnics, 2005
- Estimating the deformation modulus of rock masses: a comparative studyInternational Journal of Rock Mechanics and Mining Sciences, 2003
- Training feedforward networks with the Marquardt algorithmIEEE Transactions on Neural Networks, 1994
- Learning representations by back-propagating errorsNature, 1986
- Determining rock mass deformability: experience from case historiesInternational Journal of Rock Mechanics and Mining Sciences, 1978