DocumentCode
968137
Title
Neural networks in B-ISDN flow control: ATM traffic prediction or network modeling?
Author
Neves, Joaquim E. ; Leitäo, Mário J. ; Almeida, Luìs B.
Author_Institution
Porto Univ., Portugal
Volume
33
Issue
10
fYear
1995
fDate
10/1/1995 12:00:00 AM
Firstpage
50
Lastpage
56
Abstract
The authors discuss a technique that offers the combination of shared bandwidth and rejection rate parameters, together with the quality of service predicted by neural networks in a novel strategy for connection admission control and call routing
Keywords
B-ISDN; asynchronous transfer mode; neural nets; telecommunication computing; telecommunication congestion control; telecommunication network routing; telecommunication traffic; ATM traffic prediction; B-ISDN flow control; call routing; connection admission control; network modeling; neural networks; quality of service; rejection rate parameters; shared bandwidth; Admission control; Asynchronous transfer mode; B-ISDN; Communication system traffic control; Intelligent networks; Neural networks; Predictive models; Quality of service; Routing; Traffic control;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/35.466219
Filename
466219
Link To Document