基于BP神经网络的铣齿切削功率计算方法研究

通过对物理样机的实验测量,借助MATLAB神经网络工具箱,将BP神经网络的理论和算法应用于铣齿功率建模的研究中。通过铣齿切削试验获取训练样本,对齿轮铣削功率的网络模型进行训练和测试。结果表明,人工神经网络能较准确地预测铣齿功率的大小,解决了传统经验公式误差较大的问题,为铣齿机床的传动设计提供了依据。

Investigation on Calculation Method of Cutting Power in Gear Milling Based on BP Neural Network

The theory and arithmetic of BP neural network were applied to investigate the cutting power model in gear milling based on experimental measurements in a physical prototype and neural network toolbox of MATLAB.The training sample obtained by cutting experimentation was used to train and test network model of cutting power in gear milling.Testing results show that BP neural network can forecast cutting power in gear milling well and truly,and solve the problem that errors of traditional empirical formula are too big and provide a foundation for transmission design of the machine tools for gear milling.