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Volumn , Issue , 2008, Pages 149-154

Fault prediction using artificial neural network and fuzzy logic

Author keywords

Artificial neural network; Back propagation; Faults; Fuzzy logic; Neuro fuzzy; Neuro neuro; Recurrent neural network

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BACKPROPAGATION; CONTROL SYSTEMS; FORECASTING; FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; INFORMATION THEORY; METROPOLITAN AREA NETWORKS; NONLINEAR CONTROL SYSTEMS; RECURRENT NEURAL NETWORKS;

EID: 57849130299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MICAI.2008.38     Document Type: Conference Paper
Times cited : (15)

References (11)
  • 3
    • 57849090345 scopus 로고    scopus 로고
    • Generating balancing behavior using recurrent neural networks and biologically inspired computation methods
    • September
    • Pettersson, J., Wahde, M., "Generating balancing behavior using recurrent neural networks and biologically inspired computation methods". IEEE Transactions of Evolutionary Computation, September 2003
    • (2003) IEEE Transactions of Evolutionary Computation
    • Pettersson, J.1    Wahde, M.2
  • 5
    • 0035792579 scopus 로고    scopus 로고
    • A Hierarchical Recurrent Neuro fuzzy System
    • ISBN: 0-7803-7078-3
    • th, ISBN: 0-7803-7078-3
    • th
    • Nürnberger, A.1
  • 6
    • 0742301785 scopus 로고    scopus 로고
    • School of Computing and Information Technology, Monash University, Churchill ,Australia
    • Abraham, A., "Neuro fuzzy Systems State-of-the-art Modeling Techniques", School of Computing and Information Technology, Monash University, Churchill 3482,Australia
    • Neuro fuzzy Systems State-of-the-art Modeling Techniques , pp. 3482
    • Abraham, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.