Authors
Ernst Nordstrom, Jakob Carlstrom, Olle Gallmo, Lars Asplund
Publication date
1995/10
Journal
IEEE Communications Magazine
Volume
33
Issue
10
Pages
43-49
Publisher
IEEE
Description
Neural networks (NNs) 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 grade of service (GOS) at both the cell and call levels, and propose that neural networks may increase the network throughput and revenue.< >
Total citations
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Scholar articles
E Nordstrom, J Carlstrom, O Gallmo, L Asplund - IEEE Communications Magazine, 1995