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RISApplicability of Data Mining Techniques for Predicting Electrical Resistivity of Soils Based on Thermal Resistivity
Publisher: American Society of Civil Engineers
Abstract: This article adopts two data mining techniques, support vector machine (SVM) and least-squares support vector machine (LSSVM), for prediction of soil electrical resistivity based on soil properties and thermal resistivity. ...
Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio
Publisher: American Society of Civil Engineers
Abstract: This article uses the relevance vector machine (RVM) for the prediction of the overconsolidation ratio (OCR) of fine-grained soils based on piezocone penetration test data. RVM provides an empirical Bayes method of function ...
Prediction of Inelastic Mechanisms Leading to Seismic Failure of Interior Reinforced Concrete Beam–Column Connections
Publisher: American Society of Civil Engineers
Abstract: Inelastic mechanisms leading to failure in interior reinforced concrete beam–column (RCBC) connections, designed on the concept of strong column–weak beam philosophy, primarily result from failure of the joint region and ...
Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City
Publisher: American Society of Civil Engineers
Abstract: Daily evaporative loss (Ep) forecasting models are decisive tools with potential applications in hydrology, the design of water systems, urban water assessments, and irrigation management. This paper performs a case study ...
Site Characterization Model Using Artificial Neural Network and Kriging
Publisher: American Society of Civil Engineers
Abstract: In this paper, the problem of site characterization is treated as a task of function approximation of the large existing data from standard penetration tests (SPTs) in three-dimensional subsurface of Bangalore, India. More ...
OCR Prediction Using Support Vector Machine Based on Piezocone Data
Publisher: American Society of Civil Engineers
Abstract: The determination of the overconsolidation ratio (OCR) of clay deposits is an important task in geotechnical engineering practice. This paper examines the potential of a support vector machine (SVM) for predicting the OCR ...
Prediction of Field Hydraulic Conductivity of Clay Liners Using an Artificial Neural Network and Support Vector Machine
Publisher: American Society of Civil Engineers
Abstract: This paper describes the application of artificial neural network (ANN) and support vector machine (SVM) methods for prediction of field hydraulic conductivity of clay liners based on in situ test results such as compaction ...