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Volumn , Issue , 2011, Pages 750-754

Using reinforcement learning for agent-based network fault diagnosis system

Author keywords

fault diagnosis; mobile agent; network management; reinforcement learning

Indexed keywords

AGENT BASED; DIAGNOSTIC AGENTS; MANAGEMENT SOFTWARE; NETWORK FAULT DIAGNOSIS; NETWORK FAULT DIAGNOSIS SYSTEMS;

EID: 80051515394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINFA.2011.5949093     Document Type: Conference Paper
Times cited : (3)

References (9)
  • 6
    • 0036531878 scopus 로고    scopus 로고
    • Multiagent Leaning Using a Variable Learning Rate
    • Michael Bowling, Manuela Veloso, "Multiagent Leaning Using a Variable Learning Rate", Artificial Intelligence, 2002,pp:2l 5-250.
    • (2002) Artificial Intelligence
    • Bowling, M.1    Veloso, M.2
  • 7
    • 0042412088 scopus 로고    scopus 로고
    • Automotive fault diagnosis- Part II: A distributed agent diagnostic system
    • July
    • Y.L. Mruphey, , J.A. Crossman, ZhiHang Chen, J. Cardillo, "Automotive fault diagnosis- part II: a distributed agent diagnostic system", IEEE Transactions on Vehicular Technology, Vol. 52, Issue 4, July 2003, pp. 1076-1098.
    • (2003) IEEE Transactions on Vehicular Technology , vol.52 , Issue.4 , pp. 1076-1098
    • Mruphey, Y.L.1    Crossman, J.A.2    Chen, Z.3    Cardillo, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.