IDENTIFICATION OF GEOMETRIC PARAMETERS OF DRAWBEAD USING NEURAL NETWORKS

In this paper, a neural network (NN) model was designated to identify the geo- metric parameters of drawbead in sheet forming processes. The genetic algorithm (GA) was used to determine the neuron numbers of the hidden layers of the neural network, and a sample design method with the strategy of updating training sam- ples was also used for the convergence. The NN model goes through a progressive retraining process and the numerical study shows that this technique can give a good result of the parameter identification of drawbead.