Abstract:  In order to correctly predict the workpiece accuracy during the electrochemical machining（ECM）‚the method of BP neural network was used to establish a prediction model．Feature parameters of the BP neural network model were determined by analyzing the main factors affecting the machined accuracy‚and the dimensional numbers of the input layer and the middle hidden layer were confirmed according to the practical conditions‚thus obtaining the model structure which was then trained by using the experimental results．Finally‚a BP neural network model to pre-dict the accuracy of the workpiece during the ECM was established．The prediction results show that the error of accu-racy prediction can be controlled within10％ by using the proposed model‚which is of excellent capability of accuracy prediction．

Key words:  electrochemical machining, machined accuracy, BP neural network, prediction