Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes
- 1 May 2001
- journal article
- Published by Elsevier in Building and Environment
- Vol. 36 (4) , 457-467
- https://doi.org/10.1016/s0360-1323(00)00029-9
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Neural Network Model for Parametric Cost Estimation of Highway ProjectsJournal of Construction Engineering and Management, 1998
- Regularization Neural Network for Construction Cost EstimationJournal of Construction Engineering and Management, 1998
- Neural Network–Spreadsheet Integration for Earth‐Moving OperationsComputer-Aided Civil and Infrastructure Engineering, 1996
- Neural Network Method of Estimating Construction Technology AcceptabilityJournal of Construction Engineering and Management, 1995
- Optimization of space structures by neural dynamicsNeural Networks, 1995
- Estimating Construction Productivity: Neural‐Network‐Based ApproachJournal of Computing in Civil Engineering, 1994
- TECHNICAL NOTE. A MODEL FOR DETERMINING OPTIMUM CRANE POSITION.Proceedings of the Institution of Civil Engineers, 1991
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989
- A systematic approach to the selection of an appropriate crane for a construction siteConstruction Management and Economics, 1985
- A model for the selection of the optimum crane for construction sitesConstruction Management and Economics, 1984