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Keywords: neural network
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Proceedings Papers
Correlation of Abrasivity and Physico-Mechanical Properties of Rocks: An Experimental, Statistical and Soft-Computing Analysis
Available to Purchase
Paper presented at the 5th ISRM Young Scholars' Symposium on Rock Mechanics and International Symposium on Rock Engineering for Innovative Future, December 1–4, 2019
Paper Number: ISRM-YSRM-2019-028
... consumption has been proposed based on the experimental data. Further, statistical and soft-computing tools such as multivariate regression analysis (MVRA), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) were used to develop novel predictive and correlation models...
Proceedings Papers
Digital Elevation Model Generation by InSAR Based on ALOS-PALSAR Data in a Small Area Including Steep Slopes of a Limestone Quarry
Available to Purchase
Paper presented at the 4th ISRM Young Scholars Symposium on Rock Mechanics, May 10–13, 2017
Paper Number: ISRM-YSS-2017-043
... employs microwave wavelengths, it is independent of weather conditions and can collect data both day and night. Artificial Intelligence Limestone quarry vertical interval neural network up-to-date dem co-registration process metals & mining resolution DEM contour line spatial...
Proceedings Papers
On-Line Prediction Model for Rate of Penetration (ROP) With Cumulating Field Data in Real Time
Available to Purchase
Paper presented at the 4th ISRM Young Scholars Symposium on Rock Mechanics, May 10–13, 2017
Paper Number: ISRM-YSS-2017-071
... We present an optimized training and prediction model for Rate of Penetration (ROP) forecasting using on-line artificial neural network (ANN) in real-time. The technique aims to assist decision making on drilling operations by predicting ROP under a given set of drilling conditions. The scenario...
Proceedings Papers
Based on Improved BP Neural Network Study on Meso-Mechanical Properties of Limestone
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Paper presented at the 3rd ISRM Young Scholars Symposium on Rock Mechanics, November 8–10, 2014
Paper Number: ISRM-YSS-2014-048
... ing- pu g f w s Bue (W 3 (1) ig ) gy(Ga 7i'ansit Development in Rock Mechanics- Cai, Yang & Wang (Eds) © 2015 Taylor & Francis Group, London, ISBN 978-1·138-02730-5 Based on improved BP neural network study on meso-mechanical properties of limestone B.L. Li JCHX Mining Management Co., Ltd...
Proceedings Papers
Study on Nonlinear Dynamics Model Method for Prediction of Rock Slope Deformation
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Paper presented at the 3rd ISRM Young Scholars Symposium on Rock Mechanics, November 8–10, 2014
Paper Number: ISRM-YSS-2014-119
... system, while the conventional method is not easy to accurately describe the relationship. neural network deformation value nonlinear dynamic model method Rock Slope Deformation node Artificial Intelligence slope deformation prediction model one-step prediction method network model input...
Proceedings Papers
Neural Network Application in the Optimization of Soft Rock Supporting
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Paper presented at the 3rd ISRM Young Scholars Symposium on Rock Mechanics, November 8–10, 2014
Paper Number: ISRM-YSS-2014-045
... Development in Rock Mechanics - Cai, Yang & Wang (Eds) © 2015 Taylor & Francis Group, London, ISBN 978-1-138-02730-5 Neural network application in the optimization of soft rock supporting H. Chen Sclwol of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, China G.J...
Proceedings Papers
Back Analysis of Rock Parameters Based on Neural Network and FLAC
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Paper presented at the 3rd ISRM Young Scholars Symposium on Rock Mechanics, November 8–10, 2014
Paper Number: ISRM-YSS-2014-050
... ABSTRACT: Applying finite different method FLAC and neural network to back-analysis the displacement of tunnel, the testing samples based on orthogonal test design and FLAC numerical simulation are used to constitute mapping of rock parameter and rock displacement, then the modulus...