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Volumn 4, Issue 4, 2002, Pages 243-252

Network congestion arbitration and source problem prediction using neural networks

Author keywords

Congestion control; Flow rate control; Network problem prediction; Neural networks; Weight pruning

Indexed keywords

CONGESTION CONTROL (COMMUNICATION); INTERNET; INTRANETS; MANAGEMENT INFORMATION SYSTEMS; NETWORK PROTOCOLS; QUALITY OF SERVICE;

EID: 0036812741     PISSN: 10255818     EISSN: None     Source Type: Journal    
DOI: 10.1080/10255810215019     Document Type: Article
Times cited : (16)

References (19)
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    • Experiments with simple neural networks for real-time control
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    • Campbell, P.K.1
  • 9
    • 0003859577 scopus 로고    scopus 로고
    • Improving internet congestion control and queue management algorithms
    • Ph.D. thesis, The University of Michigan, Ann Harbor, Michigan. Computer Science and Engineering.
    • Feng, W. C. 1999. Improving Internet congestion control and queue management algorithms. Ph.D. thesis, The University of Michigan, Ann Harbor, Michigan. Computer Science and Engineering.
    • (1999)
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  • 10
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    • Routing in optical multistage interconnection networks: A neural network
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  • 13
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    • A proposal to add explicit congestion notification (ECN) to IP
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    • Ramakrishnan, K.1    Floyd, S.2
  • 16
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    • Multi-service connection admission control using modular neural networks
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    • Tham, C. K., and W. S. Soh. 1998. Multi-service connection admission control using modular neural networks. In Proceedings of the Conference on Computer Communications, page 1022 San Francisco, California, IEEE Infocom.
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    • Tham, C.K.1    Soh, W.S.2
  • 19
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    • Experimental analysis of the real time recurrent learning algorithm
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    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.