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Journal of Automation and Information Sciences

ISSN for PRINT: 1064-2315

Institutional price:	$2573.00
Issues per year:	12

Best Paper Award Selection - Editorial Board Site

2003, Volume35

63 pages

DOI: 10.1615/JAutomatInfScien.v35.i4

Issue price - $221.00

Application of Radial Basis Functions in Neural Networks for Prognosis of Economic Parameters

Olga V. Dudnik
Research and Training Complex "Institute of Applied Systems Analysis" of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv, Ukraine

Petr I. Bidyuk
Institute of Applied Systems Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute", Kiev, Ukraine

ABSTRACT

The specific architecture of a feedforward neural network is described. Using example of two real time series, namely exchange rates of Ukrainian hryvna to US dollar and that of Ukrainian hryvna to Russian rouble for the second half of 1997, we demonstrate possibility of prognosis using neural network, whose structure contains radial nodes. The results of operation of a model of such architecture are presented and comparison of its possibilities with those of a classic model of multilayer perception (MLP model) is performed.