Neural Network Method for Solving Time-Fractional Telegraph Equation
نویسندگان
چکیده
Recently, the development of neural network method for solving differential equations has made a remarkable progress fractional equations. In this paper, is employed to solve time-fractional telegraph equation. The loss function containing initial/boundary conditions with adjustable parameters (weights and biases) constructed. Also, in equation was formulated as an optimization problem. Numerical examples known analytic solutions including numerical results, their graphs, weights, biases were also discussed confirm accuracy used. graphical tabular results analyzed thoroughly. mean square errors different choices neurons epochs have been presented tables along presentations.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2021
ISSN: ['1026-7077', '1563-5147', '1024-123X']
DOI: https://doi.org/10.1155/2021/7167801