Special Issue "Mathematical Modelling Using Neural Networks"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 229

Special Issue Editor

Institute of Technology and Business in České Budějovice, Research Department of Economics and Natural Resources Management, Okružní 517/10, 370 01 České Budějovice, Czech Republic
Interests: forecasting; timeseries; business economics; commodities; financial markets; capital markets
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mathematical modelling using neural networks is one of the leading applications of data mining algorithms. It is used wherever classical models fail and, in recent years, it has found applications mainly in medical systems, economic information systems, and the control and management of physical variables and where the solution algorithm is not known. Neural networks are self-learning, self-improving, and determine accurate results, which is why they are so widely used, as the ability to choose multiple dependent and analysis variables is a frequent requirement for solving research. The aim of this Special Issue is to conduct research on the topics while using different types of neural networks in the different time frames. The types of contributions expected will focus on the practical application of predictions in the stock market, and financial and energy fields.

Potential topics include:

  • Estimation of dynamic stability in energy companies;
  • Forecast of financial time series;
  • Estimation of petroleum product quality;
  • Stock index price forecasting;
  • Currency exchange rate forecast.

Prof. Dr. Marek Vochozka
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • neural network
  • perception
  • forecasting
  • time series

Published Papers

There is no accepted submissions to this special issue at this moment.
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