Call for Papers: Fractional Discrete Neural Networks: Solvability, Stability, and Chaos

SpringerBriefs in Applied Sciences and Technology Series

We are excited to announce a call for contributions to the upcoming book titled Fractional Discrete Neural Networks: Solvability, Stability, and Chaos, to be published in the renowned SpringerBriefs in Applied Sciences and Technology series.

This book aims to provide an in-depth exploration of the mathematical modeling, analysis, and applications of fractional discrete neural networks. It focuses on contemporary research challenges and developments in the fields of fractional calculus, neural network dynamics, and their interplay in complex systems.

Scope and Topics

We invite high-quality original research and review papers covering, but not limited to, the following topics:

• Mathematical modeling of fractional discrete neural networks.
• Analysis of solvability in fractional discrete systems.
• Stability criteria and techniques for fractional neural networks.
• Emergent chaotic behavior and bifurcation phenomena.
• Fractional-order neural networks in signal processing, control systems, and optimization.
• Applications of fractional discrete neural networks in real-world problems.
• Computational methods and algorithms for fractional discrete systems.

Submission Guidelines

Authors are invited to submit their manuscripts via EasyChair. Submissions should be prepared according to Springer’s formatting guidelines for the SpringerBriefs in Applied Sciences and Technology series. All submissions will undergo a rigorous peer-review process to ensure the highest quality of content.

Important Dates

• Submission Deadline: 15-08-2025
• Notification of Acceptance: 15-09-2025

Editor

Prof. Adel Ouannas

Dr. Amel Hioual

Prof. Omar Naifar

Prof. Andellatif Ben Makhlouf

We look forward to receiving your contributions and advancing the field of fractional discrete neural networks together.

For inquiries, please contact: omar.naifar@enis.tn