Special Issue "Mathematical Modelling Using Neural Networks"
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 229
Interests: forecasting; timeseries; business economics; commodities; financial markets; capital markets
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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
Manuscript Submission Information
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- neural network
- time series