paper available: incremental learning of local linear mappings

[Bernd Fritzke]

ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/outgoing/fritzke/papers/fritzke.icann95.ps.gz

The following paper is available by http and ftp:

                 INCREMENTAL LEARNING OF LOCAL LINEAR MAPPINGS
           (to appear in the proceedings of ICANN'95, Paris, France)

                               BERND FRITZKE
                       Institut f"ur Neuroinformatik
                     Ruhr-Universit"at Bochum, Germany

  A new incremental network model for supervised learning is proposed. The
  model builds up a structure of units each of which has an associated local
  linear mapping (LLM). Error information obtained during training is used to
  determine where to insert new units whose LLMs are interpolated from their
  neighbors. Simulation results for several classification tasks indicate
  fast convergence as well as good generalization. The ability of the model to
  also perform function approximation is demonstrated by an example.

--
Bernd Fritzke * Institut f"ur Neuroinformatik             Tel. +49-234 7007921
Ruhr-Universit"at Bochum * Germany                        FAX. +49-234 7094210
WWW: http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/fritzke/top.html