... underpredict the total period due to hastily formulated activity timelines. This study aims to develop a reliable data-driven artificial neural network (ANN) approach and an accurate predictive model for estimating construction durations in government projects. Design/methodology/approach This study...

...., 2010). Applying this concept in the assessment of CC adoption in Australia, Yigitbasioglu (2015) noted that mimetic and coercive pressure will impact the adoption of CC by manufacturing and service industries positively. Artificial neural network Cloud computing Machine learning Multiple...

... into quantitative information, based on which an evaluation index system for multiproject resource conflict risk that focuses on the interdependence of multiple project resources is proposed. An artificial neural network (ANN) model combined with this system is proposed to predict the comprehensive risk score...

...Isaac Mensah; Theophilus Adjei-Kumi; Gabriel Nani Purpose Determining the duration for road construction projects represents a problem for construction professionals in Ghana. The purpose of this paper is to develop an artificial neural network (ANN) model for determining the duration for rural...

... systems, and the average actual cost. Pipework systems Water supply and waste systems Utility programmes Construction engineering works Costs Artificial neural network Cost estimate Utility projects Rehabilitation projects and water and sewer pipes United States of America Water...

...C.M. TAM; THOMAS K.L. TONG; SHARON L. TSE This paper aims to develop a quantitative model for predicting the productivity of excavators using artificial neural networks (ANN), which is then compared with the multiple regression model developed by Edwards & Holt (2000). A neural network using...

... for contractor pre‐qualification should have the ability of handling both quantitative and qualitative data, and of mapping the complicated non‐linear relationship of the selection criteria, such that rational and consistent decisions can be made. In this research paper, an artificial neural network model...