مشخصات پژوهش

عنوان	Least squares-support vector regression for solving Ψ-fractional relaxation-oscillation equations
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	-Riemann-Liouville fractional integral, -Caputo fractional derivative, Vieta-Fibonacci polynomials, Least squares support vector regression.
چکیده	.The main aim of this study is to introduce an efficient method based on the -Vieta-Fibonacci polynomials and least squares support vector regression for solving a class of -fractional differential equations. The -Vieta-Fibonacci polynomials, and their -fractional integral operator are introduced. The -Vieta-Fibonacci polynomials kernel and the collocation least squares support vector regression method are utilized for training the obtained network. Then, the formulation of the method leads to an optimization problem.
پژوهشگران	پریسا رحیم خانی (نفر اول)، رضا معطی (نفر دوم)