所构建的粘度软测量模型预报精度较高，趋势跟踪性能良好。
The developed model got high accuracy and good trend tracking performance on the real industrial data.
软测量模型的建立与实施本身是一项费时、费力、异常烦琐的工作。
The modeling and application of soft-measurement essentially is a time-consuming, energy-consuming and complicated work.
将基于最小二乘支持向量机的软测量模型应用于轻柴油凝固点的预估。
Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
使用限定记忆部分最小二乘算法在线滚动建立平均粒径的软测量模型。
The partial least squares algorithm with limited memory is applied to model the soft senor on-line to predict the average particle size for the PTA oxidation process.
同时根据回归分析方法建立了多个风量软测量模型和给煤量软测量模型。
At same time, several software sensors of air flow and fuel flow are designed based on regression.
然后将软测量模型应用于工业异构化装置，在线估计对二甲苯（PX）的含量。
The model was then applied to an industrial isomerization unit for on-line estimation of the para-xylene (PX) concentration.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
以径向基函数神经网络作为软测量模型，在软测量建模中引入正则化学习算法。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
预测结果表明，采用BP神经网络建立软测量模型是可行的，所建模型是合理的。
The result forecasted makes it clear that to creating soft-measuring model by BP neural network is doable and the model is reasonable.
该方法由三部分组成：主元分析pca、时间延迟神经网络、软测量模型的在线校正。
It is composed of three elements: PCA, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP.
主要通过与燃料量相关的测量值和对现场运行数据的统计分析，建立了燃料量软测量模型。
A model for the soft measurement of fuel quantity has been established mainly through an analysis of the measured values relating to fuel quantity and a statistical analysis of on-site operation data.
实验结果表明，该软测量模型能快速得出转炉当前炉次的粗铜成分数据，具有很高的精度。
Experimental results indicate that the crude copper composition in current copper convertor can be quickly and precisely determined by the proposed soft-sensing model.
仿真试验结果表明，所建立的软测量模型测量精度高、效果好，能够满足工程实际的要求。
The result of simulation experiment indicates that this soft-sensing model is precise enough for getting good effect, and meets practical engineering requirements.
本文采用主成分分析技术对过程数据降维，然后用降维后的数据训练神经网络，建立软测量模型。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
本文应用PLS方法建立了催化重整装置氧含量的软测量模型，结果表明该模型具有很高的精度。
In this paper, the PLS method has been used to build a soft-sensing model for oxygen concentration in a catalytic reformer. The results show that the models are highly accurate.
在分析工艺机理的基础上，用PLS- RBFN并联方法建立延迟焦化粗汽油干点软测量模型。
On the basis of analysis of the process mechanism, the model for soft measurement of the dry-point of crude gasoline delayed coking is established by using PLS-RBFN parallel method.
针对橡胶密炼机混炼胶质量的软测量建模问题，研究了适用于MISO软测量模型的一种RBF算法。
For establishing the model of soft measurement of the quality of mixing rubber in rubber mixing mill a RBF algorithm that is suitable for MISO soft measurement model is studied.
采用多元逐步回归建立软测量模型，充分利用现场DCS资源，实现催化裂化装置柴油闪点的在线软测量。
Online soft measurement of flash point of gas oil in the FCC unit is realized by the full utilization of DCS resource on the site.
本文提出了一种新的基于神经网络软测量模型及算法，为复杂测量系统中软测量建模提供了一种有效的途径。
This paper introduces a new model and algorithm of soft measurement based on Neural Network. It can solve the problem of soft measurement modeling in complicated.
主要通过机理分析建立了氧量软测量模型，仿真验证表明建立的氧量软测量模型能够较好的反映实际氧量的变化。
Setting up the soft-sensing models of oxygen content through mechanism analysis, and this soft-sensing model fit well with the practical oxygen content, which is illustrated by the simulations.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
同时，将这一方法应用于生物发酵过程，建立了青霉素发酵过程中产物浓度的软测量模型，实现了青霉素浓度的在线预估。
The proposed method has been applied to the fermentation process to develop a soft sensing model so as to estimate the products concentration on-line in penicillin fermentation.
提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法，并应用于初顶石脑油干点软测量模型建立。
A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.
将提出的动态软测量模型应用于PT A氧化过程中4 - CBA含量的预测，结果表明，所建模型运算速度快、预测精度高。
This dynamic soft-sensing model proposed has been used in prediction of 4-cba content in PTA oxidation process; the result indicates that the model features fast operation speed and high accuracy.
针对焦炉火道温度在线检测的问题，在分析焦炉火道温度特性的基础上，建立了一种基于误差预测的高精度焦炉火道温度软测量模型。
The features of coke oven flue temperature are analyzed, and a highly accurate soft-sensing model based on error forecasting is established to measure the coke oven flue temperature on-line.
利用软测量的思想，采用神经网络建立软测量模型和小波分析进行数据处理，以克服传统方法的不足，提高出口带钢厚度预测的精度。
The idea of soft-measurement is used in our work and neural network and wavelet transform are adopted to overcome deficiency of traditional method and improve forecast accuracy of exit thickness.
为了得到稳定的成浆质量，采用基于软测量模型，适当调节浓缩机浆位、出口浓度、盘磨机功率的策略，实现了打浆度、湿重的稳定控制。
With the soft sensor we developed, stable control of high-consistence refined-pulp quality is achieved by adjusting concentrator level, pulp consistence and disc refiner power properly.
论文针对建立污水处理过程控制参数及水质参数的软测量模型进行了研究，为进一步实现污水处理过程的自动控制和参数在线检测创造条件。
This paper carries out a study on soft sensors model of wastewater treatment process control parameters and water variables, which enables further control and parameters 'on-line monitoring.
论文针对建立污水处理过程控制参数及水质参数的软测量模型进行了研究，为进一步实现污水处理过程的自动控制和参数在线检测创造条件。
This paper carries out a study on soft sensors model of wastewater treatment process control parameters and water variables, which enables further control and parameters 'on-line monitoring.
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