Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
NARROW
Format
Subjects
Article Type
Date
Availability
1-7 of 7
Keywords: artificial neural network
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Paper presented at the ISRM International Symposium - 10th Asian Rock Mechanics Symposium, October 29–November 3, 2018
Paper Number: ISRM-ARMS10-2018-073
..., the parameters of excavation design were going to be optimized by adopting the approximate excavation performance using the response surface generated by artificial neural network (ANN) model. Firstly, the training data was generated using numerical studies. Multi-staged 2D plain strain models were adopted...
Proceedings Papers
Paper presented at the ISRM International Symposium - 8th Asian Rock Mechanics Symposium, October 14–16, 2014
Paper Number: ISRM-ARMS8-2014-041
... and statistical analysis with dominant factors of density, which allows constructing the correlative relationship between thermal conductivity and stiffness. Artificial Neural Network (ANN) which learns relationships between data predicts thermal conductivity of rock based on collected physical properties using...
Proceedings Papers
Paper presented at the ISRM Regional Symposium - 7th Asian Rock Mechanics Symposium, October 15–19, 2012
Paper Number: ISRM-ARMS7-2012-115
... effort to identify a superior prediction model. The main objective of this paper is to compare two TBM performance estimation models with especial task of determining Rate of Penetration (ROP), using Artificial Neural Network (ANN) and multiple linear regression. These approaches were applied...
Proceedings Papers
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-040
... Artificial Intelligence deveatoric stress Upstream Oil & Gas joint property stress-strain response Rock mechanics neural network Agra sandstone experimental measurement machine learning strength Jamrani sandstone rock property MPa ann analysis artificial neural network...
Proceedings Papers
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-107
... Artificial Intelligence specification machine learning Engineering Upstream Oil & Gas neural network TBM penetration rate Rock mechanics artificial neural network University strength classification system neuron service tunnel Amirkabir University performance prediction rock...
Proceedings Papers
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-108
...1 ISRM International Symposium 2010 and 6th Asian Rock Mechanics Symposium - Advances in Rock Engineering, 23-27 October, 2010, New Delhi, India PREDICTING PENETRATION RATE OF A TUNNEL BORING MACHINE USING ARTIFICIAL NEURAL NETWORK M. EFTEKHARI AND A. BAGHBANAN Mining Engineering Department...
Proceedings Papers
Paper presented at the ISRM International Symposium - 5th Asian Rock Mechanics Symposium, November 24–26, 2008
Paper Number: ISRM-ARMS5-2008-026
... coalescence (i.e. mode I, mode II or mode I-II) that can be used for stability analysis of rock mechanic structures. The performa 1. Introduction Since their introduction, research into the area of artificial neural networks and their applications continue to captivate scientists and engineers from...