In this paper, two new approaches based on neural networks are proposed in order to ¯nd the estimated solutions of the fully fuzzy nonlinear system (FFNS). For obtaining the estimated solutions, a gradient descent algorithm is proposed in order to train the proposed networks. An example is proposed in order to show the e±ciency of the considered approaches. |