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Prabakaran, Raghavendran, Parthiban, Yamini. (1405). A study on advanced solutions for fractional integro-differential equations integrating Sawi transform and machine learning techniques. فیزیولوژی و بیوتکنولوژی آبزیان, (), -. doi: 10.22124/jmm.2026.32197.2917
Raghavendran Prabakaran; Yamini Parthiban. "A study on advanced solutions for fractional integro-differential equations integrating Sawi transform and machine learning techniques". فیزیولوژی و بیوتکنولوژی آبزیان, , , 1405, -. doi: 10.22124/jmm.2026.32197.2917
Prabakaran, Raghavendran, Parthiban, Yamini. (1405). 'A study on advanced solutions for fractional integro-differential equations integrating Sawi transform and machine learning techniques', فیزیولوژی و بیوتکنولوژی آبزیان, (), pp. -. doi: 10.22124/jmm.2026.32197.2917
Prabakaran, Raghavendran, Parthiban, Yamini. A study on advanced solutions for fractional integro-differential equations integrating Sawi transform and machine learning techniques. فیزیولوژی و بیوتکنولوژی آبزیان, 1405; (): -. doi: 10.22124/jmm.2026.32197.2917

A study on advanced solutions for fractional integro-differential equations integrating Sawi transform and machine learning techniques

Journal of Mathematical Modeling
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 اردیبهشت 1405    اصل مقاله (808.24 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22124/jmm.2026.32197.2917
نویسندگان
Raghavendran Prabakaran* 1؛ Yamini Parthiban2
1Department of Mathematics, Easwari Engineering College, 18 Bharathi Salai, Ramapuram Chennai-600089, Tamil Nadu, India Department of Mathematics and Science Education, Faculty of Education, Harran University, Sanliurfa, Turkey
2Department of Mathematics, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600062, Tamil Nadu, India
چکیده
In this study, a direct method of fractional calculus approach to particular classes of fractional integro-differential equations is given. The method used reveals a number of interesting results most notably an extension of the familiar classical Frobenius' solution. The investigation is mainly based upon the basic results which are given to determine the fractional integro-differential equations by means of the Sawi transform and some extension coefficients defined from binomial series. Newer techniques for the efficient solution of these equations are also discussed and practical examples are used to demonstrate their use. In addition, we consider using a learning-based approach to improve the computation of our solution and illustrate how data-driven approaches can be used for obtaining approximate solutions in cases where analytical methods are not feasible or not efficient. The findings underscore the efficacy of combining classical and modern approaches in addressing complex fractional integro-differential equations.
کلیدواژه‌ها
fractional-order integro-differential equation؛ gamma function؛ Riemann-Liouville (RL) fractional integrals؛ Mittag-Leffler function؛ Sawi transform
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