DocumentCode
2723619
Title
A neural network approach to the vehicle dispatching problem
Author
Potvin, J.-Y. ; Shen, Yanming
Author_Institution
Centre de Recherche sur les Transp., Montreal Univ., Que.
fYear
1991
fDate
8-14 Jul 1991
Abstract
Summary form only given. Decision making with respect to the dispatching of vehicles and crews is still mainly in the realm of human expertise. On the basis of their own experience, the authors suggest that it seems very difficult to explicitly model that expertise via a symbolic approach. They thus propose an alternative neural network model as a subsymbolic and empirical alternative for modeling the decision process of expert dispatchers. Preliminary results on the ability of the network to reproduce systematic decision rules were obtained
Keywords
dispatching; goods dispatch data processing; neural nets; crews; decision process; empirical alternative; neural network approach; subsymbolic; systematic decision rules; vehicle dispatching problem; Decision making; Dispatching; Humans; Neural networks; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-0164-1
Type
conf
DOI
10.1109/IJCNN.1991.155454
Filename
155454
Link To Document