A comparison of multiple regression and artificial neural networks approaches to identifying significant contributors to project performance levels
Date
1998
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institution of Engineers:Colombo
Abstract
Description
Keywords
Engineering and Technology, Building construction, Projects, Hong Kong, Multiple regression, Artificial Neural Network
Citation
Engineer, 27(1):p.23-37