Nonconvex optimization using a Fokker-Planck learning machine

By Johan A. K. Suykens, Joos Vandewalle. 1995

Subfields: Optimization & Training, Mathematical Optimization

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Optimization & Training

1. Herman Verrelst
2. Joos Vandewalle
3. Johan A. K. Suykens

In Mathematical Optimization

1. Herman Verrelst
2. Joos Vandewalle
3. Johan A. K. Suykens

Citations in the corpus

• On-Line Learning Fokker-Planck Machine (1998, methodology): “In (Suykens et al., 1996; Suykens & Vandewalle, 1995; Suykens & Vandewalle, 1996) an overdetermined set of equations (i.e. more points than the number of parameters in the RBF network) has been solved in order to track the evolution of the density.”