基于神经网络的电火花加工过程的分类

摘要

根据电火花加工放电状态百分率，对电火花加工过程进行了分类。通过引入三个新的变量，建立了电火花加工过程分类的神经网络模型。仿真结果表明，该种分类方法具有很高的可信度。%The paper classifies the EDM process according to the percent of discharge state, and presents the artificial neural networks model for the EDM process classifying through another three new variables. The simulation results show that this classification method has high reliability.