A Hypertube as a Possible Interpolation Region of a Neural Model

  • Izabela Rejer
  • Marek Mikolajczyk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


The aim of this article is to present a method which can be applied to determine interpolation region of a multidimensional neural model. The method is based on the parametric curve modelling. The idea of it is to surround the parametric curve model with the hypertube covering most of the data points used in a neural model training. The practical application of the method will be shown via a system of an unemployment rate in Poland in years 1992-1999.


Unemployment Rate Convex Hull Surface Model Chain Model Neural Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Izabela Rejer
    • 1
  • Marek Mikolajczyk
    • 1
  1. 1.University of SzczecinPoland

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