- 3.3Impact Factor
- 6.0CiteScore
- 20 daysTime to First Decision
Frontiers in Fractional-Order Neural Networks
This special issue belongs to the section “Complexity“.
Special Issue Information
Dear Colleagues,
Fractional-order neural network models have become an active research subject, attracting great attention in many fields. For instance, fractional-order neural networks are recognized as effective tools for modeling, validation and guaranteed learning of dynamical processes in biology, biochemistry, neurocomputing, engineering, physics, economics, etc. Advances in fractional calculus lead to the development of new fractional-order neural network models. Conversely, challenges and knowledge from the research in science and engineering motivate new advancements in the area of fractional-order neural networks.
We invite investigators to contribute original research articles as well as review articles focused on the latest achievements in modeling, control and applications of fractional-order neural networks.
Dr. Ivanka Stamova
Prof. Dr. Xiaodi Li
Dr. Gani Stamov
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Fractal and Fractional 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 2700 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
- Fractional Cellular neural networks
- Fractional Hopfield neural networks
- Fractional Bidirectional Associate Memory neural network
- Fractional neural networks with reaction-diffusion terms
- Fractional Lotka-Volterra neural networks
- Fractional Cohen-Grossberg neural networks
- Fractional gene regulatory neural networks
- Delayed fractional neural network models
- Impulsive fractional neural Models
- Uncertain fractional neural networks
- Modelling
- Qualitative theory (stability, periodicity, almost periodicity, oscillation theory)
- Control
- Stabilization
- Applications to real-world phenomena
- Physical informed neural networks (PINN)
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.
Related Special Issues
Published Papers
Get Alerted
Add your email address to receive forthcoming issues of this journal.
