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。

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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。

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Predicting the node's load information changes using the BP neural network, and establishing the prediction model based on BP neural network.

采用BP神经网络预测结点的负载变化情况，并建立BP神经网络预测模型。

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