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Keywords: artificial neural network
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Proceedings Papers

Paper presented at the ISRM European Rock Mechanics Symposium - EUROCK 2017, June 20–22, 2017
Paper Number: ISRM-EUROCK-2017-036
... porosity, density and penetration rate. For prediction of UCS, artificial neural networks were developed between UCS and input data resulting a practical correlation. In this research, a long well segment possessing complete and continuous data coverage has been analysed, and collected data of the wellbore...
Proceedings Papers

Paper presented at the ISRM European Rock Mechanics Symposium - EUROCK 2017, June 20–22, 2017
Paper Number: ISRM-EUROCK-2017-141
..., tillite) and igneous rocks (granitoids and dolerite). A back propagation artificial neural network was developed and trained in order to predict UCS. The input parameters were unit weight γ, (Is ( 50 )), (σ t ), and lithology. The lithology was introduced in the neural network as a qualitative input...
Proceedings Papers

Paper presented at the ISRM Regional Symposium - EUROCK 2015, October 7–10, 2015
Paper Number: ISRM-EUROCK-2015-156
... Abstract As substitution method, artificial neural network instructed based on numerical analyzed patterns except than more feasibility and speed than other methods can also reach the accuracy required in numerical modeling. In this paper a model based on Perspetron multilayer artificial...
Proceedings Papers

Paper presented at the ISRM Regional Symposium - EUROCK 2015, October 7–10, 2015
Paper Number: ISRM-EUROCK-2015-177
... best fit relationship is reviewed. Secondly, an artificial neural network (ANN) is developed using actual data sets, and showed higher accuracy. The resulted network can be used to estimate UCS of the roof rock in coal extracting areas in the mentioned zone by performing simple in-situ Schmidt hammer...
Proceedings Papers

Paper presented at the ISRM Regional Symposium - EUROCK 2015, October 7–10, 2015
Paper Number: ISRM-EUROCK-2015-081
... laboratory tests on dry limestone specimen including 20 Unconfined Compression Tests and 20 Brazilian Tests have been used. Then, to apply Artificial Neural Networks, a Radial Basis Network is developed to reach a relationship between BTS and UCS. Based on the low Mean Squared Error of the network, a new...
Proceedings Papers

Paper presented at the ISRM Regional Symposium - EUROCK 2014, May 27–29, 2014
Paper Number: ISRM-EUROCK-2014-008
... between andesite rock fragments and tuff matrix. To overcome these difficulties, some prediction tools have been studied by regression analyses in the literature. In this study, Artificial Neural Network (ANN) as a prediction tool was used to construct a model for prediction of overall UCS of Volcanic...
Proceedings Papers

Paper presented at the ISRM International Symposium - EUROCK 2010, June 15–18, 2010
Paper Number: ISRM-EUROCK-2010-055
... involves several parameters such as mechanical properties of rock, normal stress and the ratio of joint surface area to the total shear surface area. To investigate the impact of such parameters on crack coalescence, the artificial neural network was applied. By this way, a number of networks of threshold...
Proceedings Papers

Paper presented at the ISRM International Symposium - EUROCK 96, September 2–5, 1996
Paper Number: ISRM-EUROCK-1996-021
... ABSTRACT: This paper is concerned with the description of the constitutive behaviour of geomaterials of wide ranging character using artificial neural networks (ANNs). The basic idea is to increase the possible options for selection of constitutive models for geotechnical analysis and design...

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