Forecasting sidewall displacement of underground caverns using machine learning techniques
出版年份 2020 全文链接
标题
Forecasting sidewall displacement of underground caverns using machine learning techniques
作者
关键词
Underground caverns, Sidewall displacement, Machine learning, Accuracy
出版物
AUTOMATION IN CONSTRUCTION
Volume 123, Issue -, Pages 103530
出版商
Elsevier BV
发表日期
2020-12-29
DOI
10.1016/j.autcon.2020.103530
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。- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
- (2020) Alex Sherstinsky PHYSICA D-NONLINEAR PHENOMENA
- Forecasting tunnel geology, construction time and costs using machine learning methods
- (2020) Arsalan Mahmoodzadeh et al. NEURAL COMPUTING & APPLICATIONS
- Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method
- (2020) Lin Wang et al. Acta Geotechnica
- Paraphrase detection using LSTM networks and handcrafted features
- (2020) Hassan Shahmohammadi et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Decision-making in tunneling using artificial intelligence tools
- (2020) Arsalan Mahmoodzadeh et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Forecasting maximum surface settlement caused by urban tunneling
- (2020) Arsalan Mahmoodzadeh et al. AUTOMATION IN CONSTRUCTION
- Updating ground conditions and time-cost scatter-gram in tunnels during excavation
- (2019) Arsalan Mahmoodzadeh et al. AUTOMATION IN CONSTRUCTION
- Detection of Deterioration of Three-phase Induction Motor using Vibration Signals
- (2019) Adam Glowacz et al. Measurement Science Review
- State-of-the-art review of soft computing applications in underground excavations
- (2019) Wengang Zhang et al. Geoscience Frontiers
- Prediction of shear strength of soft soil using machine learning methods
- (2018) Binh Thai Pham et al. CATENA
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- (2018) Awni Y. Hannun et al. NATURE MEDICINE
- Evaluation of the maximum horizontal displacement around the power station caverns using artificial neural network
- (2017) Morteza Rajabi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems
- (2016) Jui-Sheng Chou et al. AUTOMATION IN CONSTRUCTION
- Recognition of images of finger skin with application of histogram, image filtration and K-NN classifier
- (2016) Adam Glowacz et al. Biocybernetics and Biomedical Engineering
- Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach
- (2016) A. T. C. Goh et al. Bulletin of Engineering Geology and the Environment
- Multivariate adaptive regression splines and neural network models for prediction of pile drivability
- (2016) Wengang Zhang et al. Geoscience Frontiers
- Regression models for estimating ultimate and serviceability limit states of underground rock caverns
- (2015) W.G. Zhang et al. ENGINEERING GEOLOGY
- Multivariate adaptive regression splines for analysis of geotechnical engineering systems
- (2012) W.G. Zhang et al. COMPUTERS AND GEOTECHNICS
- Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns
- (2012) Wengang Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now