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- W637433680 abstract "Three inputs to a typical backpropagation based artificial neural network (ANN) modelling procedure are the number of hidden units, the learning rate (LR), and the momentum constant (MC). These three inputs have a profound effect on the ANN training as well as the resulting behavior of a trained network. This paper follows research done for the purpose of modeling trip generation using regression analysis and ANNs. The paper first presents a brief introduction to the problem of trip generation, and then explains the database used for modeling. The results of backpropagation modeling are also presented, followed by conclusions and recommendations." @default.
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- W637433680 date "1998-01-01" @default.
- W637433680 modified "2023-09-23" @default.
- W637433680 title "ANALYSIS OF PERFORMANCE OF BACKPROPAGATION ANN WITH DIFFERENT TRAINING PARAMETERS. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS" @default.
- W637433680 hasPublicationYear "1998" @default.
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