基于GA-RBF神经网络的电火花成形加工电参数优化

摘要

针对电火花成形加工的电参数选择问题,先建立RBF神经网络,将加工电参数和工艺指标参数分别作为神经网络的输入和输出.然后用GA优化RBF神经网络,建立用于电火花成形加工电参数优化的GA-RBF神经网络模型.试验结果表明,该网络的精度是令人满意的.%In view of the choice of electrical parameters of EDM, the model of RBF neural network is presented, and the electrical processing parameters and process index parameters were taken as the input and output of neural network. Then, the neural network model were optimized by genetic algorithm, the GA - RBF neural network model of electrical parameters optimization of EDM is presented. The results showed that the precision of the model is satisfactory.