Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Luma N. M. Tawfiq"'
Autor:
Farah F. Ghazi, Luma N. M. Tawfiq
Publikováno v:
An International Journal of Optimization and Control: Theories & Applications, Vol 14, Iss 3 (2024)
In this article, we design an optimal neural network based on new LM training algorithm. The traditional algorithm of LM required high memory, storage and computational overhead because of it required the updated of Hessian approximations in each ite
Externí odkaz:
https://doaj.org/article/720ae39c7761418b8da496dfc8abd9df
Autor:
Luma N. M. Tawfiq, Noor A. Hussein
Publikováno v:
Baghdad Science Journal, Vol 20, Iss 1 (2023)
In this article, a new efficient approach is presented to solve a type of partial differential equations, such (2+1)-dimensional differential equations non-linear, and nonhomogeneous. The procedure of the new approach is suggested to solve important
Externí odkaz:
https://doaj.org/article/092b33c5d87f4324a712e507b3b946c0
Autor:
Luma N. M. Tawfiq, Yaseen A. Oraibi
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 26, Iss 1 (2017)
The aim of this paper, is to discuss several high performance training algorithms fall into two main categories. The first category uses heuristic techniques, which were developed from an analysis of the performance of the standard gradient descent a
Externí odkaz:
https://doaj.org/article/2f14a7ba1ba84dc8935fbc151f68cde2
Autor:
Luma N. M. Tawfiq, Samaher M. Yassien
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 26, Iss 1 (2017)
The aim of this paper is to present a method for solving high order ordinary differential equations with two point's boundary condition, we propose semi-analytic technique using two-point oscillatory interpolation to construct polynomial solution. Th
Externí odkaz:
https://doaj.org/article/b9ddfdc47fb44b9bb4d45649031a6fc2
Autor:
Luma N. M. Tawfiq, Hiba W. Rasheed
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 26, Iss 3 (2017)
This paper is devoted to the analysis of nonlinear singular boundary value problems for ordinary differential equations with a singularity of the different kind. We propose semi - analytic technique using two point osculatory interpolation to constru
Externí odkaz:
https://doaj.org/article/a919d312f13b462a80e97e2f0441c05b
Autor:
Luma N. M. Tawfiq, Ala K. Jabber
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 27, Iss 1 (2017)
The aim of this paper is to design fast neural networks to approximate periodic functions, that is, design a fully connected networks contains links between all nodes in adjacent layers which can speed up the approximation times, reduce approximation
Externí odkaz:
https://doaj.org/article/d0b89ccab17a447fa209e5a517fc99d6
Autor:
Luma N. M. Tawfiq, Reem W. Hussein
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 27, Iss 3 (2017)
The aim of this paper is to present a semi - analytic technique for solving singular initial value problems of ordinary differential equations with a singularity of different kinds to construct polynomial solution using two point osculatory interpola
Externí odkaz:
https://doaj.org/article/5a90d13682fa49f0b9d198a9641731d5
Autor:
Luma N. M. Tawfiq, Mariam M. Hilal
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 27, Iss 3 (2017)
In this paper, we present new algorithm for the solution of the second order nonlinear three-point boundary value problem with suitable multi boundary conditions. The algorithm is based on the semi-analytic technique and the solutions which are calcu
Externí odkaz:
https://doaj.org/article/bf70f9f71d524f3b98cb857d4ca8399e
Autor:
Luma N. M. Tawfiq, Noor A. Hussein
Publikováno v:
Iraqi Journal of Science. :4388-4396
The aim of this article is to present the exact analytical solution for models as system of (2+1) dimensional PDEs by using a reliable manner based on combined LA-transform with decomposition technique and the results have shown a high-precision, smo
Autor:
Zainab Hadi Kareem, Luma N. M. Tawfiq
Publikováno v:
JOURNAL OF ADVANCES IN MATHEMATICS. 18:154-161
In this paper, efficient modification of Adomain decomposition method is proposed to solve nonlinear partial differential equations. Yields solution in rapid convergent series from easily computable terms to get exact solution, and yields in few iter