Advances in Functional Differential Equations and Neural Network Models
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 436
Special Issue Editors
Interests: delay differential equations; delay difference equations; neural network models; biological models; global stability
Interests: delay differential equations; neural network models; biological models; global stability; finite-time stability; fixed-time stability; periodic solution; almost periodic solution; almost automorphic solution
Special Issue Information
Dear Colleagues,
Neural network models are important tools used to solve practical problems in various engineering and scientific areas, such as signal and image processing, parallel computing, pattern recognition, content-addressable memory, control systems, and optimization. Consequently, the dynamic behavior of neural network models has been attracting the attention of many researchers, such as mathematicians, computer scientists, statisticians, and others.
Due to the time transmission signals between different neurons, the dynamical neural networks are better modulated through delay difference equations (for discrete cases) or delay differential equations (for continuous cases). It is well known that the delay destabilizes the dynamic behavior of the system, making it important to understand.
This Special Issue seeks to collect related theoretical and applied research on the dynamic behavior of delay difference or differential equations, especially delayed neural network models. Papers presenting and describing new questions and/or open problems in this research area are also welcome.
Dr. José Joaquim Oliveira
Prof. Dr. Chaouki Aouiti
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- delay difference equations
- delay differential equations
- neural network models
- neural-type neural networks models
- impulsive models
- periodic models
- almost periodic models
- global stability
