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- The soft sensor model of ACD was obtained by training those samples using multiple neural networks. 对大量的样本进行模糊C聚类得到优化样本；
- Furthermore, an improved algorithm was advised to revise the parameters of the soft sensor model online to improve the precision of the model. 为解决软测量模型在线校正问题，提出模型在线校正的新算法，以提高软测量模型的测量精度；
- Based on this model,a novel combined control strategy based on methanol/isobutene ratio soft sensor model conversion was proposed and compared with the other traditional control scheme. 在过程模型基础上进行了过程控制方案的设计,提出了一种基于醇烯比软测量模型的产品质量／转化率联合控制方案,并通过仿真计算和其它常规控制方案进行了对比。
- The fuzzy C-means and multiple neural networks were introduced into soft sensor model for anode-cathode-distance(ACD) because of the difficulty of online measuring ACD of aluminum reduction cells. 针对铝电解槽极距难以在线测量的特点,将模糊C聚类和多神经网络引入极距软测量模型中,提出一种基于模糊C聚类和多神经网络的铝电解槽实时极距软测量模型。
- The availability of algorithm in optimizing neural network is proved by applying NN in soft sensor modeling of 4-CBA measurement. 同时，算法在优化神经网络上的有效性也在4-CBA含量的软测量建模中得到了很好的证实。
- The method takes advantages of the minimum structure risk of SVM and the quickly globally optimizing ability of PSO for soft sensor modeling. 该方法利用支持向量机结构风险最小化原则和PSO算法快速全局优化的特点，用于软测量建模。
- A parameter selection and soft sensor modeling method based on Regression support vector is presented within Bayesian evidence framework. 提出了一种基于贝叶斯证据框架的回归型支持向量机的参数选择和软测量建模方法。
- At last DE-LSSVM was presented for soft sensor modeling on testing the content of 4-carboxybenzaldehyde (4-CBA) in terephthalic acid, and the result was satisfied. 提出基于差分进化算法的最小二乘支持向量机应用于软测量建模，并将其应用于对苯二甲酸中对羧基苯甲醛含量测试的软测量建模中，获得了满意的结果。
- Soft sensor modeling of selectivity to acrylonitrile using kernel PLS and kernel PCR is proposed to cope with the nonlinearity and multi high dimension of input and collinearity problem of process. 提出了用核函数PLS与核函数PCR建立工业丙烯腈生产过程丙烯腈收率软测量模型,以便更有效地处理过程非线性、多输入和数据共线性等复杂特性。
- Study of Using Fuzzy Neural Network to Build Soft Sensor Model Based on Rough Set 应用基于粗集的模糊神经网络进行软测量建模的研究
- soft sensor model 软测量模型
- Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines 基于高斯过程和支持向量机的软测量建模比较及应用研究
- Improved Particle Swarm Optimization Algorithms by Alopex and Its Application in Soft Sensor Modeling 利用Alopex改进的粒子群优化算法及其在软测量建模中的应用
- Optimal Selection of Secondary Variables Based on GA-PLS Algorithm and Its Application to Soft Sensor Modeling 基于改进GA-PLS算法的最优辅助变量选择及其在软测量建模中的应用
- The implementation of oxygen content soft sensor system in CCR is concerned. 介绍了重整再生器氧含量软测量系统的具体实现方法。
- Least Squares Support Vector Machines Based Soft Sensor Modeling of Nutrient Concentration for Multiplex Fertilizer Device 基于最小二乘支持向量机的复合肥装置养分含量的软测量建模
- The correlation wavelet method is then used to extract IRF and FRF of the sensor model. 二者是一对傅氏变换对，其精度高低将直接影响到传感器固有频率、阻尼比等动态参数的识别精度。
- Model Control theory and applications Model-based predictive control and applications, Predictive functional control and applications, Nonlinear control theory and methods, Artificial intelligent control and soft sensor methods. 现代控制理论及应用模型预测控制及工程应用预测函数控制及应用非线性控制理论与方法人工智能控制与软测量方法。
- The theoretical basis of only responding axial strain of the pasted FBG strain sensor was analyzed based on the strain sensor model. 论文从应变传感模型的角度分析了光纤光栅应变传感器的轴向应变检测特性的理论基础。
