1-18 of 18
Neural networks
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Using Different Artificial Neural Network Models to Predict Rate of Penetration for Oil and Gas Wells

Do Quang Khanh, Bui Tu An, Nguyen Viet Khoi Nguyen, Hoang Trong Quang, Tran Nguyen Thien Tam, Ong Vu Khanh Phat, Vo Van Long, Tran Van Tien
Paper presented at the ISRM Regional Symposium - 12th Asian Rock Mechanics Symposium, November 22–26, 2022
Paper Number: ISRM-ARMS12-2022-024
Add To Cart
View Paper titled, Using Different Artificial Neural Network Models to Predict Rate of Penetration for Oil and Gas Wells
Open the PDF for Using Different Artificial Neural Network Models to Predict Rate of Penetration for Oil and Gas Wells in another window
Add to Citation Manager
Proceedings Papers

The Fusion of Physical Mechanism and Artificial Intelligence - A Case Study of Water-Tightness Estimation for Geometrically Imperfect Cut-Off Walls

Yutao Pan, Rui Tao
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-317
https://doi.org/10.1088/1755-1315/861/7/072054
Add To Cart
View Paper titled, The Fusion of Physical Mechanism and Artificial Intelligence - A Case Study of Water-Tightness Estimation for Geometrically Imperfect Cut-Off Walls
Open the PDF for The Fusion of Physical Mechanism and Artificial Intelligence - A Case Study of Water-Tightness Estimation for Geometrically Imperfect Cut-Off Walls in another window
Add to Citation Manager
Proceedings Papers

A Deep Learning Network to Improve Tunnel Lining Defect Identification Using Ground Penetrating Radar

Yuanzheng Wang, Hui Qin, Yu Tang, Donghao Zhang, Zhengzheng Wang, Shengshan Pan
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-413
https://doi.org/10.1088/1755-1315/861/4/042057
Add To Cart
View Paper titled, A Deep Learning Network to Improve Tunnel Lining Defect Identification Using Ground Penetrating Radar
Open the PDF for A Deep Learning Network to Improve Tunnel Lining Defect Identification Using Ground Penetrating Radar in another window
Add to Citation Manager
Proceedings Papers

GAN-Based Method for Generative Design of Visual Comfort in Underground Space

Yingbin Gui, Biao Zhou, Xiongyao Xie, Wensheng Li, Xifang Zhou
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-105
https://doi.org/10.1088/1755-1315/861/7/072015
Add To Cart
View Paper titled, GAN-Based Method for Generative Design of Visual Comfort in Underground Space
Open the PDF for GAN-Based Method for Generative Design of Visual Comfort in Underground Space in another window
Add to Citation Manager
Proceedings Papers

Image-Based Crack Recognition of Tunnel Lining Using Residual U-Net Convolutional Neural Network

S. K. Hou, Z. G. Ou, P. X. Qin, Y. L. Wang, Y. R. Liu
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-145
https://doi.org/10.1088/1755-1315/861/7/072001
Add To Cart
View Paper titled, Image-Based Crack Recognition of Tunnel Lining Using Residual U-Net Convolutional Neural Network
Open the PDF for Image-Based Crack Recognition of Tunnel Lining Using Residual U-Net Convolutional Neural Network in another window
Add to Citation Manager
Proceedings Papers

Influence of Geological Conditions of Rock Mass Ahead of Tunnel Face on the Prediction Performance of Uniaxial Compressive Strength Prediction Model

Jiankang Liu, Yujing Jiang, Osamu Sakaguchi
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-258
https://doi.org/10.1088/1755-1315/861/4/042116
Add To Cart
View Paper titled, Influence of Geological Conditions of Rock Mass Ahead of Tunnel Face on the Prediction Performance of Uniaxial Compressive Strength Prediction Model
Open the PDF for Influence of Geological Conditions of Rock Mass Ahead of Tunnel Face on the Prediction Performance of Uniaxial Compressive Strength Prediction Model in another window
Add to Citation Manager
Proceedings Papers

Research on Prediction of Rockburst Microseismic Parameters Based on CNN-LSTM Hybrid Model

Jiaji Ma, Chunchi Ma, Zeng Jun, Tianbin Li, Xibao Wang
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-295
https://doi.org/10.1088/1755-1315/861/5/052097
Add To Cart
View Paper titled, Research on Prediction of Rockburst Microseismic Parameters Based on CNN-LSTM Hybrid Model
Open the PDF for Research on Prediction of Rockburst Microseismic Parameters Based on CNN-LSTM Hybrid Model in another window
Add to Citation Manager
Proceedings Papers

Dynamic Prediction of Penetration Rate Based on TBM Operational Data

Mengqi Zhu, Xin Wang, Hehua Zhu, Marte Gutierrez, J. Woody Ju
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-656
https://doi.org/10.1088/1755-1315/861/7/072044
Add To Cart
View Paper titled, Dynamic Prediction of Penetration Rate Based on TBM Operational Data
Open the PDF for Dynamic Prediction of Penetration Rate Based on TBM Operational Data in another window
Add to Citation Manager
Proceedings Papers

Optimization of the Excavation Design for Rock Caverns Using Artificial Neural Network

W. Nie, Z. Y. Zhao, M. K. Song, H. M Chen, P. S. Muley
Paper presented at the ISRM International Symposium - 10th Asian Rock Mechanics Symposium, October 29–November 3, 2018
Paper Number: ISRM-ARMS10-2018-073
Add To Cart
View Paper titled, Optimization of the Excavation Design for Rock Caverns Using Artificial Neural Network
Open the PDF for Optimization of the Excavation Design for Rock Caverns Using Artificial Neural Network in another window
Add to Citation Manager
Proceedings Papers

Statistical Correlation Between Thermal Conductivity and Wave Velocities in Rocks

Y. J. Jeong, S. H. Han, K. Y. Kim, T. S. Yun
Paper presented at the ISRM International Symposium - 8th Asian Rock Mechanics Symposium, October 14–16, 2014
Paper Number: ISRM-ARMS8-2014-041
Add To Cart
View Paper titled, Statistical Correlation Between Thermal Conductivity and Wave Velocities in Rocks
Open the PDF for Statistical Correlation Between Thermal Conductivity and Wave Velocities in Rocks in another window
Add to Citation Manager
Proceedings Papers

Examination for Predicting Ground Settlement Based on Measurement Records by Using a Neural Network Model

M. Kanayama, Y. Okamura, A. Rohe, L. A. van Paassen
Paper presented at the ISRM International Symposium - 8th Asian Rock Mechanics Symposium, October 14–16, 2014
Paper Number: ISRM-ARMS8-2014-275
Add To Cart
View Paper titled, Examination for Predicting Ground Settlement Based on Measurement Records by Using a Neural Network Model
Open the PDF for Examination for Predicting Ground Settlement Based on Measurement Records by Using a Neural Network Model in another window
Add to Citation Manager
Proceedings Papers

A Comparison of Artificial Neural Network and Multiple Regression Analysis in TBM Performance Prediction

M. Gholami, K. Shahriar, M. Sharifzadeh, J. Khademi Hamidi
Paper presented at the ISRM Regional Symposium - 7th Asian Rock Mechanics Symposium, October 15–19, 2012
Paper Number: ISRM-ARMS7-2012-115
Add To Cart
View Paper titled, A Comparison of Artificial Neural Network and Multiple Regression Analysis in TBM Performance Prediction
Open the PDF for A Comparison of Artificial Neural Network and Multiple Regression Analysis in TBM Performance Prediction in another window
Add to Citation Manager
Proceedings Papers

Prediction Of Stress-Strain Response Of Jointed Rocks Using Artificial Neural Networks

Gali Madhavi Latha, Arunakumari Garaga
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-040
Add To Cart
View Paper titled, Prediction Of Stress-Strain Response Of Jointed Rocks Using Artificial Neural Networks
Open the PDF for Prediction Of Stress-Strain Response Of Jointed Rocks Using Artificial Neural Networks in another window
Add to Citation Manager
Proceedings Papers

An Artificial Neural Network Model To Predict The Performance Of Hard Rock TBM

M. Hedayatzadeh, Kourosh Shahriar, Jafar Khademi Hamidi
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-107
Add To Cart
View Paper titled, An Artificial Neural Network Model To Predict The Performance Of Hard Rock TBM
Open the PDF for An Artificial Neural Network Model To Predict The Performance Of Hard Rock TBM in another window
Add to Citation Manager
Proceedings Papers

Predicting Penetration Rate Of A Tunnel Boring Machine Using Artificial Neural Network

M. Eftekhari, A. Baghbanan, M. Bayati
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-108
Add To Cart
View Paper titled, Predicting Penetration Rate Of A Tunnel Boring Machine Using Artificial Neural Network
Open the PDF for Predicting Penetration Rate Of A Tunnel Boring Machine Using Artificial Neural Network in another window
Add to Citation Manager
Proceedings Papers

Analysis Of Peak Particle Velocity At Underground Mine Roof Originated From An Adjacent Surface Mine

A.K. Jha, D. Deb
Paper presented at the ISRM International Symposium - 6th Asian Rock Mechanics Symposium, October 23–27, 2010
Paper Number: ISRM-ARMS6-2010-149
Add To Cart
View Paper titled, Analysis Of Peak Particle Velocity At Underground Mine Roof Originated From An Adjacent Surface Mine
Open the PDF for Analysis Of Peak Particle Velocity At Underground Mine Roof Originated From An Adjacent Surface Mine in another window
Add to Citation Manager
Proceedings Papers

Determination Of The Failure Mode In Rock Bridge Using Neural Network Tools

A.H. Ghazvinian, S. Setayeshi, V. Sarfarazi, S.A. Moosavi
Paper presented at the ISRM International Symposium - 5th Asian Rock Mechanics Symposium, November 24–26, 2008
Paper Number: ISRM-ARMS5-2008-026
Add To Cart
View Paper titled, Determination Of The Failure Mode In Rock Bridge Using Neural Network Tools
Open the PDF for Determination Of The Failure Mode In Rock Bridge Using Neural Network Tools in another window
Add to Citation Manager
Proceedings Papers

Inverse Problems And Neural Network Approach In Modeling the Constitutive Relations of Rock And Soil

Wang Jingtao, Ding Meiying
Paper presented at the ISRM International Symposium - 2nd Asian Rock Mechanics Symposium, September 11–14, 2001
Paper Number: ISRM-ARMS2-2001-105
Add To Cart
View Paper titled, Inverse Problems And Neural Network Approach In Modeling the Constitutive Relations of Rock And Soil
Open the PDF for Inverse Problems And Neural Network Approach In Modeling the Constitutive Relations of Rock And Soil in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal