“…Therefore, timedomain simulation is still the most accurate method for transient stability analysis and it can be applied to any level of power system models, but as mentioned before, the main problem of this method is that it is very time consuming. As a result, in recent years there have been several attempts in using computational intelligence based techniques like neural networks (NNs) for transient stability assessment (TSA) of power systems, e.g., see [14][15][16][17][18][19][20][21][22][23][24][25]. Neural networks are widely used for function approximation and/or classification problems, because no rigorous mathematical system modeling is required in order to train an NN to form the underlying mapping.…”