http://iauksh.ac.ir Islamic Azad University Iran, Islamic Republic of Department of mathematics.
Abstract
In this paper, we introduce a hybrid approach based on neural network and optimization teqnique to solve ordinary differential equation. In proposed model we use heyperbolic secont transformation function in hiden layer of neural network part and bfgs teqnique in optimization part. In comparison with existing similar neural networks proposed model provides solutions with high accuracy. Numerical examples with simulation results illustrate the effectiveness of the proposed model.
Parandin, N., Ezadi, S. (2013). APPLICATION NEURAL NETWORK TO SOLVE ORDINARY DIFFERENTIAL EQUATIONS. International Journal of Mathematical Modelling & Computations, 3(3 (SUMMER)), 245-252.
MLA
Nouredin Parandin; Somayeh Ezadi. "APPLICATION NEURAL NETWORK TO SOLVE ORDINARY DIFFERENTIAL EQUATIONS". International Journal of Mathematical Modelling & Computations, 3, 3 (SUMMER), 2013, 245-252.
HARVARD
Parandin, N., Ezadi, S. (2013). 'APPLICATION NEURAL NETWORK TO SOLVE ORDINARY DIFFERENTIAL EQUATIONS', International Journal of Mathematical Modelling & Computations, 3(3 (SUMMER)), pp. 245-252.
VANCOUVER
Parandin, N., Ezadi, S. APPLICATION NEURAL NETWORK TO SOLVE ORDINARY DIFFERENTIAL EQUATIONS. International Journal of Mathematical Modelling & Computations, 2013; 3(3 (SUMMER)): 245-252.
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