用于优化机械加工参数的神经网络模型

Neural network model for optimizing machining parameters

通过分析误差复映问题的模型,比较了各种神经网络的特点,确定了用于优化机械加工参数的神经网络模型。对该神经网络训练后,可根据各种加工条件和要求得到需要的加工次数及各次的加工余量。

Based on the comparison among the characteristics of different neural networks, a neural network model for optimizing machining parameters was proposed through the analysis of the errors reflecting phenomena in machining.Such a kind of neural network model having been trained can be used to determine the required process times and the process redundancy of each time when process conditions and process requirements are given. The machining parameters are optimized in this way.