Groutability prediction of microfine cement based soil improvement using evolutionary LS-SVM inference model

Groutability prediction of microfine cement based soil improvement using evolutionary LS-SVM inference model

Permeation grouting is a widely used technique for soil improvement in construction engineering. Thus, predicting the results of the grouting activity is a particularly interesting topic that has drawn the attention of researchers both from the academic field and industry. Recent literature has indi...

Full description

Bibliographic Details
Main Authors:	Min-Yuan Cheng, Nhat-Duc Hoang
Format:	Article
Language:	English
Published:	Vilnius Gediminas Technical University 2014-07-01
Series:	Journal of Civil Engineering and Management
Subjects:	groutability prediction Least Squares Support Vector Machine Differential Evolution machine learning artificial intelligence
Online Access:	http://journals.vgtu.lt/index.php/JCEM/article/view/3177

Similar Items

Groutability classification of granular soils with cement grouts
by: Hadi Farhadian, et al.
Published: (2023-06-01)

Developing new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability
by: Mostafa Asadizadeh, et al.
Published: (2019-08-01)

Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method
by: Nian Zhang, et al.
Published: (2014-08-01)

Prediction of field intensity in mine tunnel based on LS-SVM
by: WANG Anyi, et al.
Published: (2014-10-01)

Evaluating permeability and groutability of Souk Tleta dam site based on Lugeon tests, RQD, SPI and trial grouting
by: Ryma AFIRI, et al.
Published: (2020-10-01)

Use of sand pore-size distribution to predict cement suspension groutability
by: Konstantinos E. Bantralexis, et al.
Published: (2023-04-01)

Study of Spatial Distribution of Groundwater Quality Using LS-SVM, MLP, and Geostatistical Models
by: Abbas Khashei-siuki, et al.
Published: (2015-07-01)

Multiple Delay Identification in Long Interconnects via LS-SVM Regression
by: Felipe Treviso, et al.
Published: (2021-01-01)

Forecasting of underground field intensity based on LS-SVM optimized by genetic algorithm
by: WANG Anyi, et al.
Published: (2016-12-01)

IMPROVED LS-SVM USING ACO TO ESTIMATE FLASHOVER VOLTAGE OF POLLUTED INSULATORS
by: SID AHMED BESSEDIK, et al.
Published: (2017-01-01)

Evaluation of the least square support vector machines (LS-SVM) to predict longitudinal dispersion coefficient
by: Mehdi Mohammadi Ghaleni, et al.
Published: (2022-05-01)

Parallel LS-SVM for the numerical simulation of fractional Volterra’s population model
by: K. Parand, et al.
Published: (2021-12-01)

Wind power prediction based on EEMD-Tent-SSA-LS-SVM
by: Zheng Li, et al.
Published: (2022-11-01)

The use of LS-SVM for short-term passenger flow prediction / Mažiausių kvadratų atraminių vektorių metodo taikymas trumpalaikiam keleivių srautui prognozuoti /
by: Qian Chen, et al.
Published: (2011-04-01)

RESEARCH ON MECHANICAL PROPERTIES AND GROUTABILITIES OF GROUTED MORTISE-TENON JOINTS FOR PREFABRICATED STRUCTURES
by: Huang Mingli, et al.
Published: (2022-03-01)

Sensorless Control of Bearingless Permanent Magnet Synchronous Motor Based on LS-SVM Inverse System
by: Yizhou Hua, et al.
Published: (2021-01-01)

A multi-class IC package type classifier based on kernel-based nonlinear LS-SVM method
by: Yung-Hsiang Hung, et al.
Published: (2014-06-01)

Forecasting of Short-term Power Load Based on Improved PSO Algorithm and LS-SVM
by: PAN Lei, et al.
Published: (2012-09-01)

A Transformer Fault Diagnosis Model Based On Hybrid Grey Wolf Optimizer and LS-SVM
by: Bing Zeng, et al.
Published: (2019-11-01)

LS-SVM Based Modeling and Model Predictive Control for a Water-Hydraulic Artificial Muscle Actuator
by: Yuta Kawahara, et al.
Published: (2020-05-01)

Cash flow prediction for construction project using a novel adaptive time-dependent least squares support vector machine inference model
by: Min-Yuan Cheng, et al.
Published: (2015-06-01)

Improving Clock Prediction Algorithm for BDS-2/3 Satellites Based on LS-SVM Method
by: Lina He, et al.
Published: (2019-10-01)

An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification
by: Divya Tomar, et al.
Published: (2015-08-01)

Improved LS-SVM Method for Flight Data Fitting of Civil Aircraft Flying at High Plateau
by: Nongtian Chen, et al.
Published: (2022-05-01)

Monitoring the mean with least-squares support vector data description
by: Edgard M. Maboudou-Tchao
Published: (2021-08-01)

Vector machine techniques for modeling of seismic liquefaction data
by: Pijush Samui
Published: (2014-06-01)

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
by: Maria Grazia De Giorgi, et al.
Published: (2014-08-01)

A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model
by: Yonglin Gao, et al.
Published: (2023-11-01)

Fault Diagnosis Method for Rolling Bearing based on Least Squares Mapping and SVM
by: Zhao Yu, et al.
Published: (2017-01-01)

Knowledge-based rigorous machine learning techniques to predict the deliverability of underground natural gas storage sites for contributing to sustainable development goals
by: Hung Vo Thanh, et al.
Published: (2022-11-01)

ECT and LS-SVM Based Void Fraction Measurement of Oil-Gas Two-Phase Flow
by: Zhenrui Peng, et al.
Published: (2010-03-01)

An Efficient Hierarchical Identification Method With Kernel-Based SVM for Equivalent Systems of Aircrafts
by: Wanxin Zhang, et al.
Published: (2019-01-01)

Intelligent Control of Bulk Tobacco Curing Schedule Using LS-SVM- and ANFIS-Based Multi-Sensor Data Fusion Approaches
by: Juan Wu, et al.
Published: (2019-04-01)

Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques
by: Ahmed Chabane, et al.
Published: (2022-01-01)

Physiological interference reduction for near infrared spectroscopy brain activity measurement based on recursive least squares adaptive filtering and least squares support vector machines
by: Xin Liu, et al.
Published: (2019-05-01)

Least Squares Support Vector Machine for Minimizing VC Dimensional Expectation Upper Bound
by: LI Hao, WANG Shitong
Published: (2023-07-01)

Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector Machine
by: Guangxin Liu, et al.
Published: (2022-08-01)

Minimal Complexity Support Vector Machines for Pattern Classification
by: Shigeo Abe
Published: (2020-11-01)

Ternary Multicomponent Adsorption Modelling Using ANN, LS-SVR, and SVR Approach – Case Study
by: Amina Yettou, et al.
Published: (2021-08-01)

Using SVM in Classification
by: Stefan PREDA
Published: (2018-12-01)