摘要
采用几何模拟方法，以实验数据为基础，对现有的宽展数学模型进行比较，建立回归模型，并应用ＢＰ神经网络方法，建立椭圆－圆孔型系统中轧件的神经网络宽展模型。其预报结果明显优于传统的宽展数学模型。
Using geometric simulation and based on experimental data, the existing spread mathematical models are compared and a regression spread model is established in this paper. A new way is advanced by BP neural network to es tablish the ANN spread model of oval round pass sequence.The precision of its predication is much higher than that of the classical spread model's.
出处
《武汉科技大学学报》
CAS
2001年第1期8-10,共3页
Journal of Wuhan University of Science and Technology
