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NEURAL NETWORKS FOR ADAPTIVE TRAFFIC CONTROL IN ATM NETWORKS
Uppsala University.
Uppsala University.
Uppsala University.
Uppsala University.
1995 (English)In: IEEE COMMUNICATIONS MAGAZINE, ISSN 0163-6804, Vol. 33, no 10, 43-49 p.Article in journal (Other scientific) Published
Abstract [en]

Neural networks have several valuable properties for implementing ATM traffic control. The authors present NN-based solutions for two problems arising in connection admission control, affecting the GOS at both the cell and call levels, and propose that ne

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 1995. Vol. 33, no 10, 43-49 p.
Identifiers
URN: urn:nbn:se:uu:diva-27271OAI: oai:DiVA.org:uu-27271DiVA: diva2:55165
Note
Addresses: NORDSTROM E, UPPSALA UNIV, DEPT COMP SYST, UPPSALA, SWEDEN.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-16

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