| Performance prediction of rubber formulation based on radial basis function neutral network |
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| DOI： |
| Key Words: radial basis function；neutral network；rubber formulation |
| Author Name | Affiliation | | YU Zeng-shun | Qingdao University | | GAO Qi-sheng | Qingdao University | | YANG Fang | Qingdao University |
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| Abstract: |
| The widely used algorithm and structure of radial basis function(RBF) neutral networks were introduced.Taking SBR compound formulation as example，the nonlinear relationship of level of compounding agents and the properties of compound was fitted by using RBF neutral network.Network training was processed with 15 groups of sample data，and the predicated values and measured values of 15 groups of training samples and one new sample were compared.The results showed that the error was within allowable range and the neutral network algorithm was suitable for the performance predication of rubber formulation. |
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