| Application of BP neural network in predicting properties of rubber compound |
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| DOI： |
| Key Words: neural network；SBR；prediction |
| Author Name | Affiliation | | FANG Qing-hong | Shenyang Institute of Chemical Technology | | LU Jin-lin | Shenyang Institute of Chemical Technology | | DAI Cai-yun | Shenyang Institute of Chemical Technology | | CAO Da-li | Shenyang Institute of Chemical Technology | | WANG Hui-hua | Shenyang Institute of Chemical Technology |
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| Abstract: |
| 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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