Incidental neural networks as nomograms generators

Authors:
Bogumił Fiksak;Maciej Krawczak
Affiliations:
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland,Warsaw School of Information Technology, Warsaw, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

In this paper we developed a new architecture of neural networks for generating nomograms based on series of data vectors. The paper was inspired by the XIII Hilbert's problem which was presented 1900 in the context of nomography, for the particular nomographic construction. The problem was solved by V. Arnold (a student of Andrey Kolomogorov) in 1957. For numeric data of unknown functional relation we developed the incidental neural networks as nomograms generators --- the graphic calculating devices.