Recent Advances in Fractional-Order Neural Networks: Theory and Application
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 34068
Special Issue Editors
Interests: chaos theory; bifurcation; hidden attractors; non-smooth systems
Special Issues, Collections and Topics in MDPI journals
Interests: computational neuroscience; system biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of fractional-order neural networks refers to research that incorporates the concepts of fractional calculus into the related theory and application of neural networks. It is introduced to accurately describe the physical process and system state with heredity and memorability. With the in-depth study of fractional-order neural network models and dynamics analysis (e.g., stability, synchronization, bifurcation), more control methods and control techniques are applied to these systems, which will enrich the theoretical system of fractional-order neural networks. Additionally, fractional-order neural networks have infinite memory properties, which can further improve the design, characterization, and control capabilities of network models for many practical problems. These concepts have great application prospects and research value in biological nervous systems, circuit design and simulation, artificial intelligence, and other fields.
The focus of this Special Issue is to continue to advance research on topics relating to the theory, control, design, and application of fractional-order neural networks. Topics that are invited for submission include (but are not limited to):
- Fractional-order neural network model;
- Dynamic analysis and control of fractional-order neural networks;
- Circuit design and simulation of fractional-order neural networks;
- Applications of fractional-order neural networks for biology and biomedicine;
- Applications of fractional-order circuit models for artificial intelligence.
Prof. Dr. Zhouchao Wei
Dr. Lulu Lu
Guest Editors
Manuscript Submission Information
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Keywords
- fractional calculus
- dynamics analysis
- biological nervous system
- circuit design and simulation
- artificial intelligence
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