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NEURAL NETWORKS FOR ADAPTIVE TRAFFIC CONTROL IN ATM NETWORKS
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- NORDSTROM, E (author)
- Uppsala universitet
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- CARLSTROM, J (author)
- Uppsala universitet
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- GALLMO, O (author)
- Uppsala universitet
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- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 1995
- 1995
- English.
- In: IEEE COMMUNICATIONS MAGAZINE. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 0163-6804. ; 33:10, s. 43-49
- Journal article (other academic/artistic)
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- 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
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