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Volumn 32, Issue 11, 2005, Pages 1207-1223

The autoAssociative neural network in signal analysis: II. Application to on-line monitoring of a simulated BWR component

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; ERROR ANALYSIS; FRACTALS; NEURAL NETWORKS; NUCLEAR REACTORS; ONLINE SYSTEMS; PERTURBATION TECHNIQUES; SIGNAL PROCESSING;

EID: 19844365583     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.anucene.2005.03.005     Document Type: Article
Times cited : (39)

References (13)
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    • On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition
    • A.N. Kolmogorov On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition Doklady Akademii Nauk SSSR 114 1957 953 956
    • (1957) Doklady Akademii Nauk SSSR , vol.114 , pp. 953-956
    • Kolmogorov, A.N.1
  • 5
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using Autoassociative Neural Networks
    • M.A. Kramer Nonlinear principal component analysis using Autoassociative Neural Networks AIChE Journal 37 1991 233
    • (1991) AIChE Journal , vol.37 , pp. 233
    • Kramer, M.A.1
  • 8
    • 19844363208 scopus 로고    scopus 로고
    • The autoassociative neural network in signal analysis: I. the data dimensionality reduction and its geometric interpretation
    • accepted
    • Marseguerra M., Zoia, A., 2005. The Autoassociative Neural Network in signal analysis: I. The data dimensionality reduction and its geometric interpretation. Annals of Nuclear Energy (accepted)
    • (2005) Annals of Nuclear Energy
    • Marseguerra, M.1    Zoia, A.2
  • 9
    • 0031646493 scopus 로고    scopus 로고
    • Limitations of nonlinear PCA as performed with generic Neural Networks
    • E.C. Malthouse Limitations of nonlinear PCA as performed with generic Neural Networks IEEE Transactions on Neural Networks 9 1 1998
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.1
    • Malthouse, E.C.1
  • 11
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 22 Dec 2000
    • (2000) Science , vol.290 , Issue.22
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 12
    • 0026817991 scopus 로고
    • Application of Neural Networks for sensor validation and plant monitoring
    • B.R. Upadhyaya, and E. Eryurek Application of Neural Networks for sensor validation and plant monitoring Nuclear Technology 97 1992 170 176
    • (1992) Nuclear Technology , vol.97 , pp. 170-176
    • Upadhyaya, B.R.1    Eryurek, E.2
  • 13
    • 0035397165 scopus 로고    scopus 로고
    • An innovative fuzzy-logic-based methodology for trend identification
    • X. Wang, L.H. Tsoukalas, T.Y.C. Wie, and J. Reifman An innovative fuzzy-logic-based methodology for trend identification Nuclear Technology 135 2001 67 84
    • (2001) Nuclear Technology , vol.135 , pp. 67-84
    • Wang, X.1    Tsoukalas, L.H.2    Wie, T.Y.C.3    Reifman, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.