| 用BP神经网络模型预测密炼机主要性能参数 |
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| 引用本文： | 杨福芹,汪传生,侯永智.用BP神经网络模型预测密炼机主要性能参数[J].橡胶工业,2003,50(8):481-485. |
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| 作者姓名： | 杨福芹 汪传生 侯永智 |
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| 作者单位： | 青岛科技大学,山东,青岛,266042 |
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| 基金项目： | 国家“十五”科技攻关项目 (ZZ0 1 2 0 0 1 0 3 0 2 ) |
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| 摘 要： | 以转子转速、填充因数、压砣压力和冷却水温度作为输入参数，用BP神经网络模型预测密炼机消耗的最大功率、单位能耗、混炼时间、生产能力和排胶温度等性能参数。实验值与预测值比较表明，BP神经网络模型预测精度能满足定量计算的要求，为分析密炼机复杂的混炼过程提供了一条新途径。
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| 关 键 词： | BP神经网络 密炼机 性能参数 |
| 文章编号： | 1000-890X(2003)08-0481-05 |
| 修稿时间： | 2003年5月20日 |
Predicting main technical parameters of internal mixer by BP neural network model |
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| YANG Fuqin,WANG Chuansheng and HOU Yongzhi.Predicting main technical parameters of internal mixer by BP neural network model[J].China Rubber Industry,2003,50(8):481-485. |
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| Authors: | YANG Fuqin WANG Chuansheng and HOU Yongzhi |
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| Affiliation: | Qingdao University of Science and Technology,Qingdao University of Science and Technology and Qingdao University of Science and Technology |
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| Abstract: | The technical parameters of internal mixer,such as maximum power consumption,specific energy consumption,mixing time,capacity,dumping temperature and so on were predicted by BP neural network model using rotor speed,filling factor,ram pressure and cooling water temperature as the input parameters.It was found by the comparison between the measured results and the predicted results that the prediction by BP neural network model could meet the requirement for precision in quantitative calculation and provide a new mean for analysing the complicated mixing process in internal mixer. |
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| Keywords: | BP neural network internal mixer technical parameter |
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