메뉴 건너뛰기




Volumn 12, Issue 2-3, 2005, Pages 279-291

Designing neural-network-based fault detection systems with D-optimum experimental conditions

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBLEM SOLVING; RELIABILITY;

EID: 29744447269     PISSN: 1232308X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (19)
  • 3
    • 0032761694 scopus 로고    scopus 로고
    • Training data development with D-optimality criterion
    • M.H. Choueiki.Training data development with D-optimality criterion. IEEE Trans. Neural Networks, 10 (1): 56-63, 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.1 , pp. 56-63
    • Choueiki, M.H.1
  • 4
    • 0029756425 scopus 로고    scopus 로고
    • Confidence interval prediction for neural network models
    • G. Chryssolouris, M. Lee and A. Ramsey. Confidence interval prediction for neural network models. IEEE Trans. Neural Networks, 7 (1): 229-232, 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.1 , pp. 229-232
    • Chryssolouris, G.1    Lee, M.2    Ramsey, A.3
  • 6
    • 29744454285 scopus 로고    scopus 로고
    • Test signal design for failure detection: A linear programming approach
    • F. Delebecque, R. Nikoukah and H. Rubio Scola. Test signal design for failure detection: A linear programming approach. Int. J. Appl. Math. Comput. Sci., 13 (4): 515-526, 2003.
    • (2003) Int. J. Appl. Math. Comput. Sci. , vol.13 , Issue.4 , pp. 515-526
    • Delebecque, F.1    Nikoukah, R.2    Scola, H.R.3
  • 7
    • 0242673270 scopus 로고    scopus 로고
    • Nonlinear observers for fault detection and isolation
    • (Nijmeijer H., Fossen T.I., eds.) Berlin, Springer-Verlag
    • P.M. Frank, G. Schreier and E. A. Garcia. Nonlinear observers for fault detection and isolation. In: New Directions in Nonlinear Observer Design (Nijmeijer H., Fossen T.I., eds.) Berlin, Springer-Verlag 1999.
    • (1999) New Directions in Nonlinear Observer Design
    • Frank, P.M.1    Schreier, G.2    Garcia, E.A.3
  • 8
    • 0030198493 scopus 로고    scopus 로고
    • A regularity condition of the information matrix of a multi-layer perceptron network
    • K. Fukumizu. A regularity condition of the information matrix of a multi-layer perceptron network. Neural Networks, 9 (5): 871-879, 1996.
    • (1996) Neural Networks , vol.9 , Issue.5 , pp. 871-879
    • Fukumizu, K.1
  • 9
    • 85156219498 scopus 로고    scopus 로고
    • Active learning in multilayer perceptrons
    • D.S. Touretzky et al. eds.: Cambridge: MIT Press
    • K. Fukumizu. Active learning in multilayer perceptrons. In: D.S. Touretzky et al. eds.: Advances in Neural Information Processing Systems, Cambridge: MIT Press, pp. 295-301, 1996.
    • (1996) Advances in Neural Information Processing Systems , pp. 295-301
    • Fukumizu, K.1
  • 10
    • 0033640737 scopus 로고    scopus 로고
    • Statistical active learning in multilayer perceptrons
    • K. Fukumizu. Statistical active learning in multilayer perceptrons. IEEE Trans. Neural Networks, 11 (1): 17-26, 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.1 , pp. 17-26
    • Fukumizu, K.1
  • 13
    • 2942701940 scopus 로고    scopus 로고
    • A novel genetic programming approach to nonlinear system modelling: Application to the DAMADICS benchmark problem
    • M.F. Metenidis, M. Witczak and J. Korbicz. A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem. Engineering Applications of Artificial Intelligence, 17 (4): 363-370, 2004.
    • (2004) Engineering Applications of Artificial Intelligence , vol.17 , Issue.4 , pp. 363-370
    • Metenidis, M.F.1    Witczak, M.2    Korbicz, J.3
  • 19
    • 29744462338 scopus 로고    scopus 로고
    • Locally D-optimum sequential experimental design for neural networks: Application to robust fault detection
    • August 28-31, Miȩdzyzdroje Poland
    • M. Witczak. Locally D-optimum sequential experimental design for neural networks: application to robust fault detection Proc. 10-th IEEE Int. Conf. Methods and Models in Automation and Robotics: MMAR 2004, 2: 798-804, August 28-31, Miȩdzyzdroje Poland 2004.
    • (2004) Proc. 10-th IEEE Int. Conf. Methods and Models in Automation and Robotics: MMAR 2004 , vol.2 , pp. 798-804
    • Witczak, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.