A hypertube as a possible interpolation region of a neural model

Authors:
Izabela Rejer;Marek Mikolajczyk
Affiliations:
University of Szczecin, Poland;University of Szczecin, Poland
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

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.