Frontiers in Fractional-Order Neural Networks

https://www.mdpi.com/journal/fractalfract/special_issues/FFONN

Leading Guest Editor: Ivanka Stamova, Xiaodi Li, Gani Stamov

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