Joos Vandewalle
Katholieke Universiteit Leuven
747 Papers
7.3K Citations
Joos Vandewalle is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Artificial neural network & Singular value decomposition. The author has an hindex of 73, co-authored 747 publications. Previous affiliations of Joos Vandewalle include University of Virginia & Catholic University of Leuven.
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Papers
Experiences with a personal computer network in electrical engineering education
TL;DR: At the ESAT (Electronics, Systems, Automation, Technology) laboratory of the Katholieke Universiteit Leuven in Belgium extensive efforts have been made on the implementation of exercise sessions on a PC network, showing the advantages of using a personal computer to solve an exercise.
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Nonlinear predictive control using fuzzy models and semidefinite programming
Jairo Espinosa,Joos Vandewalle +1 more
- 01 Jan 1999
TL;DR: The paper presents the first steps towards a theory to build robust nonlinear predictive control based on fuzzy models to write the predictive control problem as a robust optimization problem and apply semidefinite programming to solve the optimization in an efficient way.
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On the learning of min-max fuzzy systems
Shaohua Tan,Li Zhang,Joos Vandewalle +2 more
- 01 Jul 1997
TL;DR: It is shown that with the defuzzification properly defined, a min-max fuzzy system can have a transparent structure that is both universally approximating and easy for a learning scheme to be developed.
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Generalized invariant polynomials and the generalized companion form
S Tan,Joos Vandewalle +1 more
TL;DR: A precise algebraic basis for the so-called generalized rational canonical form that was recently introduced by Tan and Vandewalle (1986 a) is constructed in this paper.This basis is based on the concept of generalized invariant polynomials.
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International workshop on advances in regularization, optimization, kernel methods and support vector machines : theory and applications (ROKS 2013)
Johan A. K. Suykens,Andreas Argyriou,Kris De Brabanter,Moritz Diehl,Kristiaan Pelckmans,Marco Signoretto,Vanya Van Belle,Joos Vandewalle +7 more
- 01 Jan 2013
TL;DR: This talk will review and discuss methods that have been developed to enable richer kernel classes to be learned and highlight the potential for further research on this topic.
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