PROBABILISTIC NEURAL NETWORKS IN THE PROBLEMS OF TIME SERIES IDENTIFICATION
Keywords:
probabilistic neural networks (PNN), identification, patterns identification, analysis of time seriesAbstract
The given paper considers the possibility of time series identification on the basis of probabilistic neural networks and their modified versions. The influence of kernel function width on adequate restoration of density and classification quality is investigated. Modified versions of probabilistic neural networks and peculiarities of their application are considered. Advantages and disadvantages of probabilistic neural networks are shown.Downloads
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Published
2015-11-30
How to Cite
[1]
R. Kvetniy, V. Kabatciy, and O. Chumachenko, “PROBABILISTIC NEURAL NETWORKS IN THE PROBLEMS OF TIME SERIES IDENTIFICATION”, Works of VNTU, no. 3, Nov. 2015.
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Section
Information Technologies and Computer Engineering