Now showing items 11-14 of 14
Modeling freight distribution using artificial neural networks
Studies about freight distribution modeling are limited due to the limitations in data availability. Existing studies in this subject, generally either use the conventional gravity models or the regression based models as ...
Forecasting interregional commodity flows using artificial neural networks: An evaluation
(Taylor & Francis, 2004-12)
Previous studies have concluded that the use of artificial neural networks (ANNs) is a promising new technique for modelling freight distribution, supporting, the findings of other studies in the area of spatial interaction ...
Predicting and forecasting flow discharge at sites receiving significant lateral inflow
Two models, one linear and one non-linear, were employed for the prediction of flow discharge hydrographs at sites receiving significant lateral inflow. The linear model is based on a rating curve and permits a quick ...
Application of artificial neural networks to predict prevalence of building-related symptoms in office buildings
Artificial neural networks (ANN) were constructed to predict prevalence of building-related symptoms (BRS) of office building occupants. Six indoor air pollutants and four indoor comfort variables were used as input variables ...