In this research, a bio-inspired computational scheme has been proposed to solve the Elec-trohydrodynamic flow in a circular cylindrical conduit using the Exponential feed-forward neural network (ENN), Genetic algorithm (GA) and Active-set method (AS). An unsupervised error based output of ENN and boundary condition is used to learning weights are set. For showing accuracy of the method, The results of explained method are compared with Galerkin method.
کلید واژگان :
Electrohydrodynamic flow, Artificial Neural Network, Genetic Algorithm, Active-Set, Exponential function
