Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
出版年份 2019 全文链接
标题
Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 9, Issue 18, Pages 3715
出版商
MDPI AG
发表日期
2019-09-09
DOI
10.3390/app9183715
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
- (2019) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
- (2019) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques
- (2019) Xiufeng Liao et al. ENGINEERING WITH COMPUTERS
- Application of deep neural networks in predicting the penetration rate of tunnel boring machines
- (2019) Mohammadreza Koopialipoor et al. Bulletin of Engineering Geology and the Environment
- Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
- (2019) Hui Chen et al. Applied Sciences-Basel
- Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns
- (2019) Payam Sarir et al. ENGINEERING WITH COMPUTERS
- Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
- (2019) Hongquan Guo et al. ENGINEERING WITH COMPUTERS
- Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories
- (2019) Jian Zhou et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO
- (2019) Haiqing Yang et al. Natural Resources Research
- Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
- (2019) Jian Zhou et al. SAFETY SCIENCE
- Model test on the entrainment phenomenon and energy conversion mechanism of flow-like landslides
- (2018) H.Q. Yang et al. ENGINEERING GEOLOGY
- Krill herd algorithm-based neural network in structural seismic reliability evaluation
- (2018) Panagiotis G. Asteris et al. MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
- Investigation on the Cracking Character of Jointed Rock Mass Beneath TBM Disc Cutter
- (2018) Haiqing Yang et al. ROCK MECHANICS AND ROCK ENGINEERING
- Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass
- (2018) H.Q. Yang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Predicting tunnel boring machine performance through a new model based on the group method of data handling
- (2018) Mohammadreza Koopialipoor et al. Bulletin of Engineering Geology and the Environment
- Rock tensile strength prediction using empirical and soft computing approaches
- (2018) Amir Mahdiyar et al. Bulletin of Engineering Geology and the Environment
- Performance prediction of tunnel boring machine through developing a gene expression programming equation
- (2017) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
- (2017) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- Weathering characterization for landslides modeling in granitoid rock masses of the Capo Vaticano promontory (Calabria, Italy)
- (2017) Fabio Ietto et al. Landslides
- Self-compacting concrete strength prediction using surrogate models
- (2017) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
- (2017) Panagiotis Asteris et al. SENSORS
- Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
- (2017) Danial Jahed Armaghani et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
- (2017) Bahareh Kalantar et al. Geomatics Natural Hazards & Risk
- Estimation and Mapping of Winter Oilseed Rape LAI from High Spatial Resolution Satellite Data Based on a Hybrid Method
- (2017) Chuanwen Wei et al. Remote Sensing
- Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel
- (2017) Jian Zhou et al. International Journal of Geomechanics
- NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier
- (2017) Yaman Akbulut et al. Symmetry-Basel
- Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems
- (2016) Behnam Yazdani Bejarbaneh et al. Bulletin of Engineering Geology and the Environment
- Geotechnical and landslide aspects in weathered granitoid rock masses (Serre Massif, southern Calabria, Italy)
- (2016) F. Ietto et al. CATENA
- Characteristics of weathering zones of granitic rocks in Malaysia for geotechnical engineering design
- (2016) S.V. Alavi Nezhad Khalil Abad et al. ENGINEERING GEOLOGY
- Rock strength assessment based on regression tree technique
- (2016) Maybelle Liang et al. ENGINEERING WITH COMPUTERS
- Classification and regression tree technique in estimating peak particle velocity caused by blasting
- (2016) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
- (2016) Danial Jahed Armaghani et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
- (2016) Jian Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
- (2016) Ali Toghroli et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Anisotropic masonry failure criterion using artificial neural networks
- (2016) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
- (2016) Roohollah Shirani Faradonbeh et al. NEURAL COMPUTING & APPLICATIONS
- Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines
- (2016) Jian ZHOU et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Analysis on the damage behavior of mixed ground during TBM cutting process
- (2016) Haiqing Yang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)
- (2016) Haoyuan Hong et al. Geomatics Natural Hazards & Risk
- Application of fuzzy inference system for prediction of rock fragmentation induced by blasting
- (2015) Samira Shams et al. Arabian Journal of Geosciences
- A quasi-three-dimensional spring-deformable-block model for runout analysis of rapid landslide motion
- (2015) H.Q. Yang et al. ENGINEERING GEOLOGY
- Feasibility of indirect determination of blast induced ground vibration based on support vector machine
- (2015) Mahdi Hasanipanah et al. MEASUREMENT
- Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
- (2015) Jian Zhou et al. NATURAL HAZARDS
- Analysis of the excavation damaged zone around a tunnel accounting for geostress and unloading
- (2014) H.Q. Yang et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- A support vector regression model for predicting tunnel boring machine penetration rates
- (2014) Satar Mahdevari et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
- (2014) Yuguo Qian et al. Remote Sensing
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
- (2013) D. Jahed Armaghani et al. Arabian Journal of Geosciences
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Study of various models for estimation of penetration rate of hard rock TBMs
- (2012) Ebrahim Farrokh et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS
- (2011) S. R. Torabi et al. Arabian Journal of Geosciences
- Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
- (2009) S. Yagiz et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Application of Fuzzy Set Theory to Rock Engineering Classification Systems: An Illustration of the Rock Mass Excavability Index
- (2009) Jafar Khademi Hamidi et al. ROCK MECHANICS AND ROCK ENGINEERING
- Development of a rock mass characteristics model for TBM penetration rate prediction
- (2008) Q.M. Gong et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
- Utilizing rock mass properties for predicting TBM performance in hard rock condition
- (2007) Saffet Yagiz TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More