Since in practical industrial applications, soft sensors based on static models often lead to
low accuracy and poor robustness, a multiple neural network (MNN) model is presented to …

Reliable and accurate measurement of product compositions is one of the main difficulties in
distillation column control. In this paper a soft sensor based on generalized regression …

目前建立软测量模型有多种方法, 但是还缺乏通用性, 通常一种方法往往难以适应不同的工业
过程, 甚至同一类工业过程不同的装置也难以适应, 如罗荣富等用趋化性神经网络成功地建立了 …

许多化工过程具有机理复杂和强非线性等特点, 为了克服常规建模方法存在的不足和提高软测量
模型的预测精度, 提出一种用于化工过程软测量的核主元分析(KPCA)-bagging …

In chemical process industry, some variables are difficult to measure on-line due to the
limitation of measurement techniques, reliability or high cost to install a hard sensor. Some …

针对具有强非线性, 复杂的化工过程软测量建模, 提出一种基于平方根容积卡尔曼滤波(SCKF)
的递归神经网络方法. 基于Elman 递归神经网络, 首先构建状态空间模型, 然后应用SCKF …

针对复杂工业过程中由于存在未建模动态和不确定干扰, 导致关键变量的软测量精度下降的问题
, 提出了一种基于稳定Hammerstein 模型(H 模型) 的在线软测量建模方法. H …