1. 2001
  2. An Interpolation Technique for Learning With Sparse Dat

    Van Gorp, J. & Rolain, Y. 2001 IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, California, USA, 21-23 June 2000.

    Research output: ResearchConference paper

  3. 2000
  4. An Interpolation Technique for Learning With Sparse Data

    Van Gorp, J. 2000 IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, California, USA, 21-23 June 2000.

    Research output: ResearchConference paper

  5. Learning Neural Networks with Noisy Inputs Using the Errors-in-Variables Approac

    Van Gorp, J., Schoukens, J. & Pintelon, R. 2000 In : Unknown Journal.

    Research output: Research - peer-reviewArticle

  6. Steel Plant Modeling and Analysis using a Neural Networ

    Van Gorp, J. 2000 Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE, St. Louis, Missouri, 'Intelligent Engineering Systems Through Artificial Neural Networks', November 1999, Volume 9, pp. 739 - 744.

    Research output: ResearchConference paper

  7. 1999
  8. A scheme for nonlinear modeling

    Van Gorp, J. & Schoukens, J. 1999 World multiconference on systems, cybernetics and informatics SCI'99 5th international conference on information systems analysis and synthesis ISAS'99pp.450-456.

    Research output: ResearchConference paper

  9. Representation of SISO Fuzzy Logic Control Systems within NLQ Theor

    Van Gorp, J. & Suykens, J. 1999 Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE, St. Louis, Missouri, 'Intelligent Engineering Systems Through Artificial Neural Networks', November 1999, Volume 9, pp. 603-609..

    Research output: ResearchConference paper

  10. Representation of SISO Fuzzy Logic Control Systems within NLQ Theor

    Van Gorp, J. & Suykens, J. 1999 Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE, St. Louis, Missouri, 'Intelligent Engineering Systems Through Artificial Neural Networks', November 1999, Volume 9, pp. 603 - 609..

    Research output: ResearchConference paper

  11. 1998
  12. Adding Input Noise to Increase the Generalization of Neural Networks is a Bad Idea

    Van Gorp, J., Schoukens, J. & Pintelon, R. 1 Nov 1998 Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE 98, St. Louis, Missouri, USA, November 1–4, 1998, Vol. 8, pp. 127–132. Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE 98, St. Louis, Missouri, USA, November 1–4, 1998, Vol. 8, pp. 127–132

    Research output: ResearchConference paper

  13. The Errors-In-Variables Cost Function For Learning Neural Networks With Noisy Inputs

    Van Gorp, J., Schoukens, J. & Pintelon, R. 1 Nov 1998 Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE 1998, St. Louis, Missouri, USA, November 1–4, 1998, Vol. 8, pp. 141–147. Proceedings of the Artificial Neural Networks in Engineering Conference, ANNIE 1998, St. Louis, Missouri, USA, November 1–4, 1998, Vol. 8, pp. 141–147

    Research output: ResearchConference paper

  14. Adding Input Noise to Increase the Generalization of Neural Networks is a Bad Idea

    Van Gorp, J., Schoukens, J. & Pintelon, R. 8 Jul 1998 Int. Workshop on Advanced Black-Box Techniques for Nonlinear Modeling Theory and Applications, KULeuven, Belgium, July 8–10, 1998. Int. Workshop on Advanced Black-Box Techniques for Nonlinear Modeling Theory and Applications, KULeuven, Belgium, July 8–10, 1998

    Research output: ResearchConference paper

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