| 用BP神经网络模型预测密炼机主要性能参数 |
| Predicting main technical parameters of internal mixer by BP neural network model |
| |
| DOI： |
| 中文关键词: BP神经网络 密炼机 性能参数 |
| 英文关键词: BP neural network internal mixer technical parameter |
| 基金项目:国家“十五”科技攻关项目（ZZ01-20-01-03-02） |
|
| 摘要点击次数: 824 |
| 全文下载次数: 1 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
|
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
