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RISModeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network
Publisher: American Society of Civil Engineers
Abstract: This note investigates the potential of support vector machines based regression approach to model the static pile capacity from dynamic stress-wave data. A data set of 105 prestressed precast high strength concrete spun ...
Discussion of “Construction Scheduling and Progress Control Using Geographical Information Systems” by Stephen E. Poku and David Arditi
Publisher: American Society of Civil Engineers
Discussion of “Application of Support Vector Machines in Assessing Conceptual Cost Estimates” by Sung-Hoon An, U-Yeol Park, Kyung-In Kang, Moon-Young Cho, and Hun-Hee Cho
Publisher: American Society of Civil Engineers
Generating, Evaluating, and Visualizing Construction Schedule with Geographic Information Systems
Publisher: American Society of Civil Engineers
Abstract: Linking of the activities in a critical path method schedule with the corresponding elements of a three-dimensional (3D) model makes the project sequence easier to understand. Although some commercial tools allow the planner ...
Estimation of Removal Efficiency for Settling Basins Using Neural Networks and Support Vector Machines
Publisher: American Society of Civil Engineers
Abstract: An artificial neural network (ANN) and support vector machines (SVMs) were employed for estimating the removal efficiency of settling basins in canals. The performance of ANN and SVMs was tested using the data from an ...