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Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 35, Issue 4, 2003, 7 pages
DOI: 10.1615/JAutomatInfScien.v35.i4.50
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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.

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