Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/52122
Title: | Neural network simulation of the industrial producer price index dynamical series |
Authors: | Soshnikov, L. E. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
Issue Date: | 2013 |
Publisher: | Minsk : Publ. center of BSU |
Citation: | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 226-229 |
Abstract: | This paper is devoted the simulation and forecast of dynamical series of the economical indicators. Multilayer perceptron and Radial basis function neural networks have been used. The neural networks model results are compared with the econometrical modeling. |
URI: | http://elib.bsu.by/handle/123456789/52122 |
Appears in Collections: | 2013. Computer Data Analysis and Modeling. Vol 2 Vol. 2 |
Files in This Item:
File | Description | Size | Format | |
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226-229.pdf | 441,3 kB | Adobe PDF | View/Open |
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