[1]向峥嵘,陈庆伟.基于小波和LSSVM的软测量建模方法[J].智能系统学报,2010,5(1):63-66.
　XIANG Zheng-rong,CHEN Qing-wei.An approach to soft sensor modeling based onwavelets and a least square support vector machine[J].CAAI Transactions on Intelligent Systems,2010,5(1):63-66.
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基于小波和LSSVM的软测量建模方法

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 5 期数: 2010年第1期 页码: 63-66 栏目: 学术论文—人工智能基础 出版日期: 2010-02-25
Title:
An approach to soft sensor modeling based onwavelets and a least square support vector machine
文章编号:
1673-4785(2010)01-0063-04
作者:
向峥嵘，陈庆伟
南京理工大学 自动化学院，江苏 南京 210094
Author(s):
XIANG Zheng-rong， CHEN Qing-wei
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
关键词:
软测量; 最小二乘支持向量机; 小波分析; 量子粒子群优化
Keywords:
soft sensing;  least square support vector machine (LSSVM);  wavelet;  quantum particle swarm optimization
分类号:
TP274
文献标志码:
A
摘要:
针对工业过程中某些重要过程变量难以实现在线检测的问题，提出了一种基于小波和最小二乘支持向量机（LSSVM）的软测量建模方法.首先通过小波变换把样本数据序列分解为不同频段的子序列，然后对这些子序列分别采用LSSVM进行建模，最后通过小波重构得到主导变量的估计值.其中采用量子粒子群算法（PSO）来优化选取LSSVM参数.通过仿真实验验证此方法，实验结果表明所提出的方法具有估计精度高、泛化能力强等优点.
Abstract:
Some industrial process variables are very difficult to measure. To overcome this problem, a soft sensor modeling, based on wavelets and a least square support vector machine (LSSVM), was proposed. Initially, a stream of sample data was decomposed into subsequences with different frequences. This was done on the basis of wavelet transform. Then the respective subsequences were modeled by appropriate SVMs. Finally, estimated values for the primary variables were obtained by wavelet reconstruction. A quantum particle swarm optimization (QPSO) algorithm was employed to select parameters for the LSSVM and the kernel function. Simulation results confirmed that the proposed method has high precision and good generalization ability.
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备注/Memo

收稿日期：2008-10-08.
基金项目：江苏省自然科学基金资助项目(BK2007210).
通信作者：向峥嵘.E-mail:xiangzr@mail.njust.edu.cn.
作者简介：
向峥嵘，男，1969年生,副教授、博士，IEEE会员,中国人工智能学会会员.主要研究方向为非线性系统、鲁棒控制、智能控制、数据挖掘等.主持及承担了多项国家自然科学、省自然科学基金及国防预研项目.2002—2006年曾多次到香港城市大学和香港理工大学做合作研究，发表学术论文90余篇.
陈庆伟，男，1963年生, 教授、博士生导师,中国自动化学会空间及运动体控制委员会委员，中国自动化学会智能自动化委员会委员，江苏省自动化学会理事，《兵工学报》编委.主要研究方向智能控制、非线性系统、交流伺服系统、网络控制等.主持及承担了多项国家自然科学基金及国防预研项目的研究工作，发表学术论文50余篇.

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