| BP神经网络在胶料性能预测中的应用 |
| Application of BP neural network in predicting properties of rubber compound |
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| DOI： |
| 中文关键词: 神经网络 SBR 胶料性能预测 |
| 英文关键词: neural network SBR prediction |
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| 中文摘要: |
| 根据BP神经网络原理，以SBR中的几种配料用量为输入变量，对应的胶料拉伸强度、拉断伸长率、撕裂强度和t90为输出变量，建立神经网络分析预报模型。通过选定合适的参数，利用已有的试验结果对模型进行训练。模型的预测结果与试验结果一致。 |
| 英文摘要: |
| Based on the principle of BP neural network，a neural network model for predicting the properties of SBR compound was established by using the additional levels of several ingredients as the input variables and the corresponding tensile strengthes，elongations at break，tear strengthes and t90 as the output variables.The model was correctly trained by determining appropriate parameters and using existent experimental data.It was found that the predicted results were well in accordance with the experimental data. |
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