Research on Optimization of Processing Parameter in Turning Process Based on BP Neural Network and Genetic Algorithm

摘要

A method of turning process parameter optimization combining neural networks with genetic algorithm was presented.Taking experimental data as samples,the model between processing parameter and processing function was established based on BP neural networks. Counter to various product objectives,processing parameter is optimized by genetic algorithm.When turning by the optimized process parameters, the error of the objective function <1%. It fully played their function which extensive mapping ability of neural networks and rapid global convergence of genetic algorithm.