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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2004, Vol. 5 Issue ( 9): 15-    DOI: 10.1631/jzus.2004.1124
    
Congestion control for ATM multiplexers using neural networks: multiple sources/single buffer scenario
DU Shu-xin, YUAN Shi-yong
National Laboratory of Industrial Control Technology, Institute of Intelligent Systems and Decision-Making, Zhejiang University, Hangzhou 310027, China
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Abstract  A new neural network based method for solving the problem of congestion control arising at the user network interface (UNI) of ATM networks is proposed in this paper. Unlike the previous methods where the coding rate for all traffic sources as controller

Key wordsCongestion control      ATM networks      Neural networks      Source coding rate     
Received: 10 June 2003     
CLC:  TP393  
Cite this article:

DU Shu-xin, YUAN Shi-yong. Congestion control for ATM multiplexers using neural networks: multiple sources/single buffer scenario. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5( 9): 15-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2004.1124     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2004/V5/I 9/15

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