Recent Advances in Applied Mathematics and Artificial Intelligence

A special issue of Axioms (ISSN 2075-1680).

Deadline for manuscript submissions: 29 January 2025 | Viewed by 3831

Special Issue Editors


E-Mail Website
Guest Editor
College of Science, Northeast Forestry University, Harbin 150040, China
Interests: functional differential equations (bifurcation theory and numerical analysis); reaction diffusion equation (bifurcation theory of and its application); mathematical biology (predator-prey model)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Interests: applied mathematics and artificial intelligence; intelligent control; image processing; speech recognition

Special Issue Information

Dear Colleagues,

The journal Axioms is an international, open access journal which provides an advanced forum for studies related to mathematics, mathematical logic and mathematical physics. This Special Issue focuses on Applied Mathematics and Artificial Intelligence, since they have a wide range of applications in real life, such as engineering, physics, medicine, and economics. The aim of this Special Issue is to seek advancements in the discourse on all aspects of Applied Mathematics and Artificial Intelligence. This Special Issue invites papers on innovative proposals of the theory and application of Applied Mathematics and Artificial Intelligence. 

Dr. Ruizhi Yang
Prof. Dr. Yining Xie
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

  • mathematical model
  • dynamic system
  • local and global dynamics
  • machine learning
  • learning algorithms
  • pattern recognition
  • data filtering and transformation
  • feature extraction and analysis
  • deep learning algorithm

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

22 pages, 533 KiB  
Article
Fixed Time Synchronization of Stochastic Takagi–Sugeno Fuzzy Recurrent Neural Networks with Distributed Delay under Feedback and Adaptive Controls
by Yiran Niu, Xiaofeng Xu and Ming Liu
Axioms 2024, 13(6), 391; https://doi.org/10.3390/axioms13060391 - 11 Jun 2024
Cited by 1 | Viewed by 673
Abstract
In this paper, the stochastic Takagi–Sugeno fuzzy recurrent neural networks (STSFRNNS) with distributed delay is established based on the Takagi–Sugeno (TS) model and the fixed time synchronization problem is investigated. In order to synchronize the networks, we design two kinds of controllers: a [...] Read more.
In this paper, the stochastic Takagi–Sugeno fuzzy recurrent neural networks (STSFRNNS) with distributed delay is established based on the Takagi–Sugeno (TS) model and the fixed time synchronization problem is investigated. In order to synchronize the networks, we design two kinds of controllers: a feedback controller and an adaptive controller. Then, we obtain the synchronization criteria in a fixed time by combining the Lyapunov method and the related inequality theory of the stochastic differential equation and calculate the stabilization time for the STSFRNNS. In addition, to verify the authenticity of the theoretical results, we use MATLABR2023A to carry out numerical simulation. Full article
(This article belongs to the Special Issue Recent Advances in Applied Mathematics and Artificial Intelligence)
Show Figures

Figure 1

23 pages, 1490 KiB  
Article
Spatiotemporal Dynamics of a Diffusive Immunosuppressive Infection Model with Nonlocal Competition and Crowley–Martin Functional Response
by Yuan Xue, Jinli Xu and Yuting Ding
Axioms 2023, 12(12), 1085; https://doi.org/10.3390/axioms12121085 - 27 Nov 2023
Viewed by 1157
Abstract
In this paper, we introduce the Crowley–Martin functional response and nonlocal competition into a reaction–diffusion immunosuppressive infection model. First, we analyze the existence and stability of the positive constant steady states of the systems with nonlocal competition and local competition, respectively. Second, we [...] Read more.
In this paper, we introduce the Crowley–Martin functional response and nonlocal competition into a reaction–diffusion immunosuppressive infection model. First, we analyze the existence and stability of the positive constant steady states of the systems with nonlocal competition and local competition, respectively. Second, we deduce the conditions for the occurrence of Turing, Hopf, and Turing–Hopf bifurcations of the system with nonlocal competition, as well as the conditions for the occurrence of Hopf bifurcations of the system with local competition. Furthermore, we employ the multiple time scales method to derive the normal forms of the Hopf bifurcations reduced on the center manifold for both systems. Finally, we conduct numerical simulations for both systems under the same parameter settings, compare the impact of nonlocal competition, and find that the nonlocal term can induce spatially inhomogeneous stable periodic solutions. We also provide corresponding biological explanations for the simulation results. Full article
(This article belongs to the Special Issue Recent Advances in Applied Mathematics and Artificial Intelligence)
Show Figures

Figure 1

17 pages, 701 KiB  
Article
Dynamics of a Prey–Predator Model with Group Defense for Prey, Cooperative Hunting for Predator, and Lévy Jump
by Hengfei Chen, Ming Liu and Xiaofeng Xu
Axioms 2023, 12(9), 878; https://doi.org/10.3390/axioms12090878 - 14 Sep 2023
Cited by 1 | Viewed by 1263
Abstract
A stochastic predator–prey system with group cooperative behavior, white noise, and Lévy noise is considered. In group cooperation, we introduce the Holling IV interaction term to reflect group defense of prey, and cooperative hunting to reflect group attack of predator. Firstly, it is [...] Read more.
A stochastic predator–prey system with group cooperative behavior, white noise, and Lévy noise is considered. In group cooperation, we introduce the Holling IV interaction term to reflect group defense of prey, and cooperative hunting to reflect group attack of predator. Firstly, it is proved that the system has a globally unique positive solution. Secondly, we obtain the conditions of persistence and extinction of the system in the sense of time average. Under the condition that the environment does not change dramatically, the intensity of cooperative hunting and group defense needs to meet certain conditions to make both predators and preys persist. In addition, considering the system without Lévy jump, it is proved that the system has a stationary distribution. Finally, the validity of the theoretical results is verified by numerical simulation. Full article
(This article belongs to the Special Issue Recent Advances in Applied Mathematics and Artificial Intelligence)
Show Figures

Figure 1

Back to TopTop