Improved neuro-fuzzy models for design processes and simulation in automotive applications;Optimierte neuro-fuzzy-modelle für auslegungsprozesse und simulation im automotive-bereich

At-Automatisierungstechnik

Volumn 53, Issue 9, 2005, Pages 425-433

  Jakubek, Stefan ^a   Keuth, Nikolaus ^b  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b AVL LIST GMBH   (Austria)

Author keywords

Neuro fuzzy modelle; Neuronale netze; Nichtlineare modellierung

Indexed keywords

EID: 71149107648     PISSN: 01782312     EISSN: None     Source Type: Journal    
DOI: 10.1524/auto.2005.53.9.425     Document Type: Article

References (16)

1. A. Bittermann, E. Kranawetter, J. Krenn, B. Ladein, T. Ebner, H. Altenstrasser, H. Koegeler, and K. Gschweitl. Emissionsauslegung des dieselmotorischen Fahrzeugantriebs mittels DoE und Simulationsrechnung. Motorentechnische Zeitschrift, 2004.
2. B.A. Foss and T.A. Johansen. On local and fuzzy modeling. In In Proceedings of the 3rd Int. Conf. Industrial Fuzzy Control and Intelligent Systems, pages 80-87, 1993.
3. R. Murray-Smith and T.A. Johansen. Local learning in local model networks. In Fourth International Conference on Artificial Neural Networks, pages 40-46, 1995.
4. R. Babuska and H.B. Verbruggen. An overview of fuzzy modeling for control. Control Engineering Practice, 4(11):1593-1606, 1996.
5. T.A. Johansen and B.A. Foss. Operating regime based process modeling and identification. Computers and Chemical Engineering, 21:159-176, 1997.
6. S. Ernst. Hinging hyperplane trees for approximation and identification. In Proceedings of the 37th IEEE Conference on Decicion & Control 1998, volume 2, pages 1266-1271. IEEE, 1998.
7. O. Nelles. Nonlinear System Identification. pringer Verlag, 1st edition, 2002.
8. D.E. Gustafson and W.C. Kessel. Fuzzy clustering with the fuzzy covariance matrix. In Proceedings of IEEE CDC, pages 761-766. IEEE, 1979.
9. J.C. Bezdek. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York, 1981.
10. I. Gath and A.B. Geva. Unsupervised optimal fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):773-781, 1989.
11. J. Yen and L. Wang. Application of statistical information criteria for optimal fuzzy model construction. IEEE Transactions on Fuzzy Systems, 6(3):362-372, August 1998.
12. O. Nelles. LOLIMOT - Lokale, lineare Modelle zur Identifikation nichtlinearer, dynamischer Systeme. Automatisierungstechnik (at), pages 163-174, April 1997.
13. L. Breiman. Hinging hyperplanes for regression, classification, and function approximation. In IEE Transaction on information theory, volume 39. IEEE, 1993.
14. S. Töpfer. Approximation nichtlinearer Prozesse mit Hinging Hyperplane Baummodellen. Automatisierungstechnik (at), pages 147-154, April 2002.
15. X. Hong, P.M. Sharkey, and K.Warwick. A robust nonlinear identification algorithm using press statistics and forward regression. In IEEE Transactions on Neural Networks, volume 14, pages 454-458. IEEE, 2003.
16. S. Jakubek and T. Strasser. Artificial neural networks for fault detection in large-scale data acquisition systems. Engineering Applications of Artificial Intelligence, 17:233-248, May 2004.