The performance of soft sensor based on neural network can be affected significantly because of the problems. How to solve those problems is proposed.
这些问题具有一定的普遍性，若不能很好地解决，将直接影响软测量的性能。
On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.
在具体分析了多种建模方法的基础上，提出了核主元分析结合最小二乘支持向量机软测量建模方法。
The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.
分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。
The soft sensor is a new industrial technique based on inferential control.
软测量是基于推断控制的一门新兴工业技术。
Measure of simultaneous-sampling two channel signals sent from grating sensor, and soft-subdividing of moiré fringes in 200 based on simple system composed of DSP and MAX115 were introduced.
介绍了利用DSP和MAX115构成的系统对光栅传感器的两路输出信号进行高速同步采集，以及对光栅信号实现200倍频的软件细分方法。
Based mainly on mechanism analysis, online soft sensor for FCCU reaction conversion and resultant yields is developed.
基于机理分析，实现了催化裂化反应再生系统预测转化率和产品产率的在线软测量。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
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.
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。
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