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Volumn , Issue , 2008, Pages 23-28

Instantaneous anomaly detection in online learning fuzzy systems

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; E-LEARNING; EDUCATION; FINANCIAL DATA PROCESSING; FUZZY LOGIC; FUZZY SYSTEMS; INTERNET; LEARNING SYSTEMS; ONLINE SYSTEMS;

EID: 50149103918     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEFS.2008.4484562     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 1
    • 0001219859 scopus 로고
    • Regularizaron theory and neural networks architectures
    • Girosi, F., Jones, M., Poggio, T.: Regularizaron theory and neural networks architectures. Neural Computation 7(2) (1995) 219-269
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 2
    • 0036436325 scopus 로고    scopus 로고
    • Best Choices for Regularizaron Parameters in Learning Theory: On the Bias-Variance Problem
    • Cucker, F., Smale, S.: Best Choices for Regularizaron Parameters in Learning Theory: On the Bias-Variance Problem. Foundations of Computational Mathematics 2(4) (2002) 413-428
    • (2002) Foundations of Computational Mathematics , vol.2 , Issue.4 , pp. 413-428
    • Cucker, F.1    Smale, S.2
  • 4
    • 0001108227 scopus 로고    scopus 로고
    • Constructive Incremental Learning from Only Local Information
    • Schaal, S., Atkeson, C.: Constructive Incremental Learning from Only Local Information. Neural Computation 10(8) (1998) 2047-2084
    • (1998) Neural Computation , vol.10 , Issue.8 , pp. 2047-2084
    • Schaal, S.1    Atkeson, C.2
  • 8
    • 0347316762 scopus 로고    scopus 로고
    • Learning Qualitative Models
    • Bratko, I., Sue, D.: Learning Qualitative Models. AI Magazine 24(4) (2003) 107-119
    • (2003) AI Magazine , vol.24 , Issue.4 , pp. 107-119
    • Bratko, I.1    Sue, D.2
  • 9
    • 50249149885 scopus 로고    scopus 로고
    • Brockmann, W.; Horst, A.: Stabilizing the Convergence of Online-Learning Neuro-Fuzzy Systems by an Immune System-inspired Approach. IEEE Int. Conf. On Fuzzy Systems - FUZZ-IEEE 2007, London, 23.-26.7.2007, 351-356
    • Brockmann, W.; Horst, A.: Stabilizing the Convergence of Online-Learning Neuro-Fuzzy Systems by an Immune System-inspired Approach. IEEE Int. Conf. On Fuzzy Systems - FUZZ-IEEE 2007, London, 23.-26.7.2007, 351-356
  • 10
    • 38149074162 scopus 로고    scopus 로고
    • Concept for Controlled Self-optimization in Online Learning Neuro-fuzzy Systems
    • Hertzberg, J, Beetz, M, Englert, R, eds, Springer, Berlin, Heidelberg, New York
    • Rosemann, N., Brockmann, W.: Concept for Controlled Self-optimization in Online Learning Neuro-fuzzy Systems. In: Hertzberg, J., Beetz, M., Englert, R. (eds.): KI 2007: Advances in Artificial Intelligence, LNCS SL 7, Springer, Berlin, Heidelberg, New York, 2007, 498-501
    • (2007) KI 2007: Advances in Artificial Intelligence, LNCS SL , vol.7 , pp. 498-501
    • Rosemann, N.1    Brockmann, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.