基于对角递归神经网络的粘度软测量模型

Soft sensing model of viscosity based on diagonal recurrent network

采用对角动态递归神经网络 ,基于生产过程的可测参数 ,构造聚酯 (PET)的粘度软测量模型 ,实现PET粘度的在线估计。

A diagonal recurrent network combined with measurable parameters is applied to construct soft sensing model to implement the online estimation of viscosity of poly(ethylene terephthalate). Experiments show the feasibility and effectiveness of the method.