Frontiers in Fractional-Order Neural Networks
1月01日週五
|Fractal and Fractional
時間和地點
2021年1月01日 上午12:00 – 2021年11月20日 上午12:00
Fractal and Fractional
關於本活動
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