| 改进的局部LSSVM算法在明胶浓度软测量中的应用 |
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| 引用本文： | 曹洁,周蓓蓓. 改进的局部LSSVM算法在明胶浓度软测量中的应用[J]. 工业仪表与自动化装置, 2011, 0(1): 66-70 |
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| 作者姓名： | 曹洁 周蓓蓓 |
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| 作者单位： | 兰州理工大学电气工程与信息工程学院,兰州,730050 |
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| 摘 要： | 在明胶生产的提胶工艺中,胶液浓度是一个很重要的质量和控制参数,但是目前对明胶浓度的检测手段多为离线人工检测,不能实现在线实时测量.该文提出使用软测量的方法对明胶浓度进行在线测量,采用局部LSSVM建模方法进行软测量建模,并用PSO算法对模型参数进行优化.Matlab仿真结果表明,基于PSO优化的局部LSSVM的软测量方...
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| 关 键 词： | 明胶浓度 软测量 最小二乘支持向量机 局部学习 粒子群算法 K均值聚类 |
Improved local LSSVM and application in soft sensor modeling of gelatin concentration |
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| CAO Jie,ZHOU Beibei. Improved local LSSVM and application in soft sensor modeling of gelatin concentration[J]. Industrial Instrumentation & Automation, 2011, 0(1): 66-70 |
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| Authors: | CAO Jie ZHOU Beibei |
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| Affiliation: | CAO Jie,ZHOU Beibei(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China) |
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| Abstract: | The concentration of gelatin is a very important control parameters of gelatin production,but the equipment for monitoring concentration of gelatin on-line is so expensive and difficult to maintain that it is not suitable for application,and the off-line sampling and monitoring method with low accuracy is applied in general.Aiming to provide practical and affordable industrial-scale control technology of extraction,we developed a soft sensor to estimate concentration of gelatin on-line based on temperature ... |
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| Keywords: | gelatin concentration soft sensor LSSVM local training PSO K-means |
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