Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement
出版年份 2018 全文链接
标题
Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement
作者
关键词
-
出版物
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
Volume -, Issue -, Pages 147592171876793
出版商
SAGE Publications
发表日期
2018-04-23
DOI
10.1177/1475921718767935
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。- Prediction of Slope Stability Based on Hybrid PSO and LSSVM
- (2017) Xinhua Xue JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- New Observations on the Application of LS-SVM in Slope System Reliability Analysis
- (2017) Jian Ji et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Implementation of GA-LSSVM modelling approach for estimating the performance of solid desiccant wheels
- (2016) Alireza Zendehboudi ENERGY CONVERSION AND MANAGEMENT
- Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks
- (2016) Víctor Aguilar et al. Structure and Infrastructure Engineering
- Computer vision-based displacement and vibration monitoring without using physical target on structures
- (2016) Tung Khuc et al. Structure and Infrastructure Engineering
- Prediction of the residual strength of clay using functional networks
- (2016) S.Z. Khan et al. Geoscience Frontiers
- Outliers detection method of multiple measuring points of parameters in power plant units
- (2015) Minfang Qi et al. APPLIED THERMAL ENGINEERING
- An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: Slope stability assessment through kinematic and numerical methods
- (2015) M. Francioni et al. COMPUTERS AND GEOTECHNICS
- Simulating pavement structural condition using artificial neural networks
- (2015) Christina Plati et al. Structure and Infrastructure Engineering
- Real-time GIS data model and sensor web service platform for environmental data management
- (2015) Jianya Gong et al. International Journal of Health Geographics
- A review on applications of ANN and SVM for building electrical energy consumption forecasting
- (2014) A.S. Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal performance of base isolated building considering limitation on excessive isolator displacement
- (2014) Sumanta Das et al. Structure and Infrastructure Engineering
- Geospatial Narratives and Their Spatio-Temporal Dynamics: Commonsense Reasoning for High-Level Analyses in Geographic Information Systems
- (2014) Mehul Bhatt et al. ISPRS International Journal of Geo-Information
- A temporal GIS for field based environmental modeling
- (2013) Sören Gebbert et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- (2013) Yu-Hong Dai et al. SIAM JOURNAL ON OPTIMIZATION
- Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data
- (2011) Roman M. Balabin et al. ANALYST
- A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting
- (2011) Shuhaida Ismail et al. EXPERT SYSTEMS WITH APPLICATIONS
- Utilization of a least square support vector machine (LSSVM) for slope stability analysis
- (2011) P. Samui et al. Scientia Iranica
- A normal least squares support vector machine (NLS-SVM) and its learning algorithm
- (2009) Xinjun Peng et al. NEUROCOMPUTING
- Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
- (2008) Yingwei Zhang CHEMICAL ENGINEERING SCIENCE
- Least-square support vector machine applied to settlement of shallow foundations on cohesionless soils
- (2008) Pijush Samui et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started