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.
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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