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• Publications (external link to VUB R&D database)
• PhD theses (external link to VUB R&D database)

• Nonlinear Identification With Neural Networks and Fuzzy Logic
  Van Gorp Jürgen
  PhD Thesis, Vrije Universiteit Brussel, Dept. ELEC, September 2000, 280 pages
  

• Learning Neural Networks with Noisy Inputs Using the Errors-in-Variables Approach
  Jürgen Van Gorp, Johan Schoukens and Rik Pintelon
  IEEE Transactions on Neural Networks, Vol. 11, No. 2, March 2000, pp. 402–414

1. Steel Plant Modeling and Analysis Using a Neural Network
   Van Gorp Jürgen
   ANNIE 1999, November 1999, St. Louis, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 9, pp. 739 - 744
2. NLqp Stability Theory With Application to MIMO Fuzzy Systems
   Van Gorp Jürgen
   World Multiconference on Systemics, Cybernetics and Informatics (SCI ‚99), 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99), July - August 1999, Orlando, U.S.A., Volume 9, pp. 152 - 158
3. A Scheme for Nonlinear Modeling
   Van Gorp Jürgen, Schoukens Johan
   World Multiconference on Systemics, Cybernetics and Informatics (SCI ‚99), 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99), July - August 1999, Orlando, U.S.A., Volume 5, pp. 450 - 456
4. Adding Input Noise to Increase the Generalization of Neural Networks is a Bad Idea
   Van Gorp Jürgen, Schoukens Johan, Pintelon Rik
   ANNIE 1998, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 8, pp. 127 - 132
5. The Errors-In-Variables Cost Function for Learning Neural Networks with Noisy Inputs
   Van Gorp Jürgen, Schoukens Johan, Pintelon Rik
   ANNIE 1998, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 8, pp. 141 - 146
6. Representation of SISO Fuzzy Logic Control Systems Within NLq Theory
   Van Gorp Jürgen, Suykens Johan
   ANNIE 1999, November 1999, St. Louis, USA, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 9, pp. 603-609.
   Voted best paper on: "Theoretical Developments in Computational Intelligence"
   
7. An Interpolation Technique for Learning With Sparse Data
   Jürgen Van Gorp and Yves Rolain
   IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, California, USA, 21–23 June 2000
   
   

1. Towards Fuzzy Control of a Flexible Manipulator
   Van Gorp Jürgen
   internal report Vrije Universiteit Brussel Belgium, Siemens A. G. München, Germany, 1994
2. An Interpolation Technique for Learning With Sparse Data
   Van Gorp Jürgen, Rolain Yves
   internal report Vrije Universiteit Brussel Belgium, 1999
3. Using Variability to Analyse the Effects of Adding Jitter
   Van Gorp Jürgen
   Internal report Vrije Universiteit Brussel, Belgium, July 2000
4. Situating Neural Net and Fuzzy Logic Modelling in a Uniform Scheme
   Van Gorp Jürgen
   Internal report Vrije Universiteit Brussel, Belgium, July 2000
5. Application of MIMO Fuzzy Systems Within NLqp Stability Theory
   Van Gorp Jürgen
   Internal report Vrije Universiteit Brussel, Belgium, July 2000