A new rational Legendre neural network for solving the Blasius equation

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 110

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شناسه ملی سند علمی:

JR_CMCMA-4-1_002

تاریخ نمایه سازی: 24 فروردین 1404

چکیده مقاله:

In this paper, we present a novel artificial neural network framework for solving the Blasius equation, a nonlinear ordinary differential equation defined on a semi-infinite domain. Our experiments revealed that traditional activation functions, such as Tanh and ReLU, did not produce satisfactory results. To address this, we employed custom activation functions based on Rational Legendre polynomials, which demonstrated superior performance in approximating the solution. The results highlight the effectiveness and potential of this approach, offering a valuable contribution to the scientific community for addressing similar nonlinear differential equations.

نویسندگان

Mohammad Mohammadi

Department of Computer and Data Sciences, Shahid Beheshti University, Tehran, Iran

Yeganeh Ghaderi

Department of Computer and Data Sciences, Shahid Beheshti University, Tehran, Iran

Hassan Dana Mazraeh

Department of Computer and Data Sciences, Shahid Beheshti University, Tehran, Iran

Kourosh Parand

Department of Computer and Data Sciences, Shahid Beheshti University, Tehran, Iran