Search
CSV
RISForecasting 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 ...