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基于动态多核相关向量机的软测量建模研究
Alternative TitleStudy on the Soft Sensor of Multi-kernel Relevance Vector Machine Based on Time Difference
吴菁1,3; 刘乙奇1,2; 刘坚4; 黄道平1; 邱禹1
Department广州中国科学院沈阳自动化研究所分所
Source Publication化工学报
ISSN0438-1157
2019
Volume70Issue:4Pages:1472-1484
Indexed ByEI ; CSCD
EI Accession number20192106946973
CSCD IDCSCD:6503583
Contribution Rank3
Funding Organization国家自然科学基金资助项目(61873096,61673181,61533002) ; 广东省科技计划项目(2016A020221007) ; 2017 中央高校基本科研业务资助项目一面上项目(2017MS053) ; 广州市科技计划项目(201804010256) ; 工业控制技术国家重点实验室(ICT1800372) ; 贵州省科技厅联合基金项目(黔科合LH 字[2014]7379)
Keyword软测量 污水处理 多核 相关向量机 时差建模
Abstract针对污水处理过程中存在的多变量耦合、强非线性以及参数时变等问题,提出基于多核学习相关向量机的软测量建模方法,并采用粒子群算法对多核权重以及核参数进行优化。同时,引入时间差分(time difference)方法改进多核相关向量机的动态特性。为了验证所提模型的有效性,通过一仿真案例与单核相关向量机、多层前馈神经网络和基于遗传算法的支持向量机进行对比研究。结果表明,所提模型具有更好的预测效果。最后,对模型的鲁棒性在数据漂移和异常的场景下进行了讨论。
Other AbstractConsidering the characteristics of strong multivariable coupling, significant non-linearity and parameter time-varying in the wastewater treatment processes, a multi-kernel relevance vector machine (MRVM) is proposed for soft-sensor modeling. Particle swarm optimization algorithm is further used to optimize multi-kernel weights and kernel parameters. Meanwhile, the time difference (TD) method is introduced to improve the dynamic characteristics of MRVM. The proposed model was demonstrated through a WWTP simulated case study by comparison with relevance vector machine (RVM) with a single kernel, back propagation (BP) neural network and the genetic algorithm-based support vector machine (GA-SVM). Results showed that the proposed model achieved better prediction accuracy. Finally, the robustness of the models is discussed under the scenarios of data drifting and outliers.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24137
Collection广州中国科学院沈阳自动化研究所分所
Corresponding Author黄道平
Affiliation1.华南理工大学自动化科学与工程学院
2.贵州民族大学数据科学与信息工程学院
3.浙江大学工业控制技术国家重点实验室
4.广州中国科学院沈阳自动化研究所分所
Recommended Citation
GB/T 7714
吴菁,刘乙奇,刘坚,等. 基于动态多核相关向量机的软测量建模研究[J]. 化工学报,2019,70(4):1472-1484.
APA 吴菁,刘乙奇,刘坚,黄道平,&邱禹.(2019).基于动态多核相关向量机的软测量建模研究.化工学报,70(4),1472-1484.
MLA 吴菁,et al."基于动态多核相关向量机的软测量建模研究".化工学报 70.4(2019):1472-1484.
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