لمى ناجي محمد توفيق

الاسم باللغة الإنجليزية

Lama Naji Muhammad Tawfiq

عدد الاستشهادات بقاعدة ارسيف :

7

البريد الإلكتروني

أنقر هنالمشاهدة هذا المحتوى

لمى ناجي محمد توفيق

Using neural network to solve nonlinear singular perturbation problems

Efficient semi-analytic technique for solving nonlinear singular initial value problems

Solution of 2nd order nonlinear three-point boundary value problems by semi-analytic technique

Solution of nonlinear high order multi-point boundary value problems by semi-analytic technique

Influence activation function in approximate periodic functions using neural networks

On solution of nonlinear singular boundary value problem

Solution of nonlinear 2nd order multi-point BVP by semi-analytic technique

Solution of high order ordinary boundary value problems using semi-analytic technique

Design feed forward neural network to solve boundary value problems

Fast training algorithms for feed forward neural networks

Using semi-analytic technique for solving lane emden equations

Stability of back propagation training algorithm for neural networks

Designing Feed Forward Neural Network for Solving Linear VolterraIntegro-Differential Equations

Design feed forward neural network to determine doses of the decongestant for cold pills

Design fast feed forward neural network to solve initial value problems

On fuzzy groups and group homomorphism

The commutator of two fuzzy subsets

Semi-analytic technique for solving high order nonlinear ordinary initial value problem

Using semi-analytic method to decreasing dangers of lead

On solution of two point second order boundary value problems using semi-analytic method

N-topological space and its applications in artificial neural networks

The effect of number of training samples for artificial neural network

On comparison between radial basis function and wavelet basis functions neural networks

Density and approximation by using feed forward artificial neural networks

Fuzzy subspaces for fuzzy space of orderings

On training of feed forward neural networks

The finite element neural network and its applications to forward and inverse problems

On threshold relation and their application

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