A Gaussian Mixture Model Algorithm using the Temporal Information

被引：0

作者：

Guo, Wei ^{[1
]}

Pan, Tianhong ^{[1
]}

Li, Zhengming ^{[1
]}

机构：

[1] Jiangsu Univ, Sch Elect Informat & Engn, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年

关键词：

Batch Process; Data-Driven; Gaussian Mixture Model; Overlapping Modelling; Temporal Information; REGRESSION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Soft sensor is widely used in batch processes to monitor the products quality which is unmeasurable or measured with low frequency. Most multi-model/multi-phase modelling methods cannot deal with the overlapping section in different operating regimes. A GMM algorithm based on temporal information is proposed to overcome the overlapping problem in this paper. The proposed method maximizes the posterior probability by introducing a temporal penalty term. Then the parameters of GMM can be estimated with the punitive log-likelihood function using expectation maximization (EM) algorithm. Applications on a numerical simulation and a penicillin production process demonstrate the performance of the presented algorithm.

引用

页码：7975 / 7979

页数：5

共 50 条

[31] Locomotion Mode Recognition Algorithm Based on Gaussian Mixture Model Using IMU Sensors
Shin, Dongbin
Lee, Seungchan
Hwang, Seunghoon
[J]. SENSORS, 2021, 21 (08)
[32] Phoneme-based spectral voice conversion using temporal decomposition and Gaussian mixture model
Nguyen, Binh Phu
Akagi, Masato
[J]. 2008 SECOND INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS, 2008, : 222 - 227
[33] Superpixel Segmentation Using Gaussian Mixture Model
Ban, Zhihua
Liu, Jianguo
Cao, Li
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (08) : 4105 - 4117
[34] Using the Gini Index for a Gaussian Mixture Model
Laura Lopez-Lobato, Adriana
Lorena Avendano-Garrido, Martha
[J]. ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2020, PT II, 2020, 12469 : 403 - 418
[35] Speaker Verification Using Gaussian Mixture Model
Jagtap, Shilpa S.
Bhalke, D. G.
[J]. 2015 INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING (ICPC), 2015,
[36] Research on the Algorithm of Image Classification Based on Gaussian Mixture Model
Meng, Z.
Yao, G. Q.
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015), 2015, 18 : 659 - 662
[37] Combined Gaussian Mixture Model and Pathfinder Algorithm for Data Clustering
Huang, Huajuan
Liao, Zepeng
Wei, Xiuxi
Zhou, Yongquan
[J]. ENTROPY, 2023, 25 (06)
[38] An efficient mixture sampling model for gaussian estimation of distribution algorithm
Dang, Qianlong
Gao, Weifeng
Gong, Maoguo
[J]. INFORMATION SCIENCES, 2022, 608 : 1157 - 1182
[39] Heartbeat Pattern Classification Algorithm Based on Gaussian Mixture Model
Iscan, Mehmet
Yigit, Faruk
Yilmaz, Cuneyt
[J]. 2016 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2016, : 98 - 103
[40] Moving Human Detection Algorithm Based on Gaussian Mixture Model
Li Li
Xu Jining
[J]. PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2853 - 2856

← 1 2 3 4 5 →