神经网络预测热塑弹性体的质量指标

目的由聚合反应过程参数预测热塑弹性体的质量指标.方法利用神经网络技术建立产品的质量指标和聚合反应过程状态变量之间的映射关系,反应过程为万吨级工业生产装置间歇反应釜中的聚合反应.结果以可接受的精度由易测量的反应过程参数推导得出了热塑弹性体的质量指标.结论利用神经网络技术可以构成检测热塑弹性体质量指标的在线软仪表.

Neural Network for Prediction of Thermal Elastomer Quality

Aim To predict the indexes of quality of the thermal elastomer by polymerization process data. Methods Neural networks were used for learning the relationship between the product quality and the polymerization process condition variables in an industrial scale batch polymerization reactor. Results The indexes of quality of the product were inferred with acceptable accuracy from easy to measure reaction process condition variables. Conclusion The method proposed in this paper provides on line soft sensors of the indexes of quality of the thermal elastomal.