... for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide...

... considering multiple objectives. Findings The case study shows that the BP neural network-cost prediction algorithm can well predict the cost of design alternatives, and the framework can be widely used at the design stage of most engineering projects. Design components with low sensitivity to design...

... into the machine learning algorithm application in forecasting the cost of future highway construction projects in Ethiopia. Cost prediction Machine learning algorithms Stacking ensemble model Highway construction projects Meseret Getnet Meharie can be contacted at: mesget86@gmail.com 27 02...