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 :
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