Now showing items 1-6 of 6
A neural network approach for early cost estimation of structural systems of buildings
The importance of decision making in cost estimation for building design processes points to a need for an estimation tool for both designers and project managers. This paper investigates the utility of neural network ...
Determining attribute weights in a CBR model for early cost prediction of structural systems
(American Society of Civil Engineers, 2006)
This paper compares the performance of three optimization techniques, namely feature counting, gradient descent, and genetic algorithms (GA) in generating attribute weights that were used in a spreadsheet-based case based ...
Artificial neural networks to predict daylight illuminance in office buildings
A prediction model was developed to determine daylight illuminance for the office buildings by using artificial neural networks (ANNs). Illuminance data were collected for 3 months by applying a field measuring method. ...
Impacts of transportation projects on urban trends in İzmir
(Turkish Chamber of Civil Engineers, 2008-12)
The effects of major transportation projects on urban trends in Izmir were analyzed using the Delphi method. Once convergence was maintained in expert opinions, the Delphi results were re-evaluated according to the suggested ...
Optimization of an envelope retrofit strategy for an existing office building
Energy-efficient retrofits include improvement of building envelope via insulation, employment of building integrated renewable energy technologies, and climate control strategies. Building envelope improvements with ...
Using decision trees for determining attribute weights in a case-based model of early cost prediction
(American Society of Civil Engineers, 2008)
This paper compares the performance of three different decision-tree-based methods of assigning attribute weights to be used in a case-based reasoning (CBR) prediction model. The generation of the attribute weights is ...