Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
依据BP神经网络系统能够利用人工智能的方法,准确分析多变量非线性系统的特性,采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.
同时,分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
应用推荐