DocumentCode
2499069
Title
A new method for modelling by artificial neural networks
Author
Zhou, Q.Q. ; Laing, H.B. ; Lu, L. ; He, H.H.
Author_Institution
Dept. of Electr. Eng., Guangdong Univ. of Technol., Guangzhou, China
fYear
1996
fDate
24-27 Jan 1996
Firstpage
450
Lastpage
455
Abstract
Taking a traffic signal as the basis, this paper puts forward a new method for modelling using artificial neural networks. From the perspective of control, this paper focuses on the application of the neural network in the establishment of a model of traffic signal systems, including the modelling of single junctions and modelling of small fields which consist of several junctions. The effectiveness of the developed model is demonstrated by simulation
Keywords
backpropagation; digital simulation; neural nets; road traffic; simulation; traffic control; traffic engineering computing; artificial neural networks; backpropagation; modelling; simulation; single junction modelling; small field modelling; traffic control; traffic signal; urban traffic network model; Artificial neural networks; Communication system traffic control; Force control; Mathematical model; Neural networks; Power distribution; Power system modeling; Signal processing; Telecommunication control; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering: Education and Practice, 1996. Proceedings. International Conference
Conference_Location
Dunedin
Print_ISBN
0-8186-7379-6
Type
conf
DOI
10.1109/SEEP.1996.534033
Filename
534033
Link To Document