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Recent Advances in Fractal Interpolation Functions and Their Applications in AI

This special issue belongs to the section “General Mathematics, Analysis“.

Special Issue Information

Dear Colleagues,

To date, Artificial Intelligence (AI) has been used for classification, prediction, and optimization. However, there is still room for improving the application of AI in many fields. In situations where the problem to be modelled is too intricate, the approach of incorporating AI can lead to promising results. There is a consistent body of literature demonstrating that AI-based methods provide greater reliability, accuracy, and predictability, while helping to detect hidden nonlinear chaotic patterns in big data applications. To this end, AI methods are often used to complement traditional classical methods in many fields, especially in complicated hybrid chaotic systems.

Although many studies in recent years have used AI in applied mathematics, the application of AI methods to fractal theory is less common. Fractal, fractional calculus, and wavelets have been the most widely-used methods in approximation theory and signal processing. Combining AI methods and fractal-based analysis is a new direction of research area.

Fractal-AI allows for the derivation of new mathematical tools that are designed to provide efficient solutions to problems in which many entities are interconnected. Fractal-AI is also used to extract hidden information from the dynamics of complicated systems and speed up experiments by performing massive data analysis.

In this special issue, the focus will be on recent developments of fractal functions and their applications in AI and data science, including theoretical and numerical aspects. The purpose is to develop the research area of differential equations, integral equations, approximation theory, wavelets, curve fitting, and reproducing kernel Hilbert spaces. We also aim to extend applications of fractal functions in machine learning and data modelling. Applications of AI in fractal functions are also welcome to this special issue.

Prof. Dr. Da-Chin Lour
Dr. Liang-Yu Hsieh 
Prof. Dr. María Antonia Navascués
Dr. Vasileios Drakopoulos
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 250 words) can be sent to the Editorial Office for assessment.

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. Fractal and Fractional 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 2700 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

  • fractal interpolation functions
  • fractional calculus
  • fractal interpolation functions and wavelets
  • fractal interpolation functions and approximation
  • fractal interpolation functions and reproducing kernel spaces
  • fractal interpolation and signal processing
  • fractal interpolation functions and curve fitting problems
  • fractal modeling of data ai applications in fractal interpolation functions
  • applications of fractal interpolation functions in AI
  • applications of fractal interpolation functions in statistics and data science

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Fractal Fract. - ISSN 2504-3110