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 358
Special Issue Editor
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- neural network
- perception
- forecasting
- time series
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
