A real-time model based on optimized least squares support vector machine for industrial polypropylene melt index prediction

Miao Zhang; Xinggao Liu

doi:10.1002/cem.2795

A real-time model based on optimized least squares support vector machine for industrial polypropylene melt index prediction

Journal of Chemometrics ◽

10.1002/cem.2795 ◽

2016 ◽

Vol 30 (6) ◽

pp. 324-331 ◽

Cited By ~ 15

Author(s):

Miao Zhang ◽

Xinggao Liu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Real Time ◽

Support Vector ◽

Time Model ◽

Melt Index ◽

Model Based ◽

Polypropylene Melt

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A real-time model based on least squares support vector machines and output bias update for the prediction of NO x emission from coal-fired power plant

Korean Journal of Chemical Engineering ◽

10.1007/s11814-014-0301-2 ◽

2015 ◽

Vol 32 (6) ◽

pp. 1029-1036 ◽

Cited By ~ 16

Author(s):

Faisal Ahmed ◽

Hyun Jun Cho ◽

Jin Kuk Kim ◽

Noh Uk Seong ◽

Yeong Koo Yeo

Keyword(s):

Support Vector Machines ◽

Power Plant ◽

Least Squares ◽

Real Time ◽

Support Vector ◽

Time Model ◽

Model Based ◽

Vector Machines

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A real-time model based Support Vector Machine for emotion recognition through EEG

2012 International Conference on Control, Automation and Information Sciences (ICCAIS) ◽

10.1109/iccais.2012.6466585 ◽

2012 ◽

Cited By ~ 13

Author(s):

Viet Hoang Anh ◽

Manh Ngo Van ◽

Bang Ban Ha ◽

Thang Huynh Quyet

Keyword(s):

Support Vector Machine ◽

Emotion Recognition ◽

Real Time ◽

Support Vector ◽

Time Model ◽

Model Based

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A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting

ISA Transactions ◽

10.1016/j.isatra.2020.09.002 ◽

2020 ◽

Author(s):

Min Ding ◽

Hao Zhou ◽

Hua Xie ◽

Min Wu ◽

Kang-Zhi Liu ◽

...

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Least Squares ◽

Wind Power ◽

Time Series Model ◽

Support Vector ◽

Short Term ◽

Wind Power Forecasting ◽

Model Based ◽

Hybrid Kernel

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Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals

Expert Systems with Applications ◽

10.1016/j.eswa.2009.05.012 ◽

2010 ◽

Vol 37 (1) ◽

pp. 233-239 ◽

Cited By ~ 126

Author(s):

Elif Derya Übeyli˙

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Support Vector ◽

Eeg Signals ◽

Model Based

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Ground Target Optimal Tracking Model Based on Genetic Least Squares Support Vector Machine

International Journal of Digital Content Technology and its Applications ◽

10.4156/jdcta.vol7.issue5.7 ◽

2013 ◽

Vol 7 (5) ◽

pp. 55-61

Author(s):

Yunliang Pan ◽

Jun Du ◽

Weitao Hu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Support Vector ◽

Optimal Tracking ◽

Model Based ◽

Ground Target ◽

Tracking Model

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An innovative one-class least squares support vector machine model based on continuous cognition

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.02.024 ◽

2017 ◽

Vol 123 ◽

pp. 217-228 ◽

Cited By ~ 8

Author(s):

Guangzao Huang ◽

Zijiang Yang ◽

Xiaojing Chen ◽

Guoli Ji

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Support Vector Machine Model ◽

Support Vector ◽

Machine Model ◽

Model Based

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Diagnosis Model Based on Least Squares Support Vector Machine Optimized by Multi-swarm Cooperative Chaos Particle Swarm Optimization and Its Application

Journal of Computers ◽

10.4304/jcp.8.4.975-982 ◽

2013 ◽

Vol 8 (4) ◽

Cited By ~ 7

Author(s):

Guojun Ding ◽

Lide Wang ◽

Peng Yang ◽

Ping Shen ◽

Shuping Dang

Keyword(s):

Support Vector Machine ◽

Particle Swarm Optimization ◽

Least Squares ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Model Based ◽

Diagnosis Model

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Least‐squares support vector machine‐based Kalman filtering for GNSS navigation with dynamic model real‐time correction

IET Radar Sonar & Navigation ◽

10.1049/iet-rsn.2016.0422 ◽

2017 ◽

Vol 11 (3) ◽

pp. 528-538 ◽

Cited By ~ 9

Author(s):

Zebo Zhou ◽

Yong Li ◽

Chen Fu ◽

Chris Rizos

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Real Time ◽

Dynamic Model ◽

Kalman Filtering ◽

Support Vector ◽

Time Correction

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Fuzzy least squares support vector machine soft measurement model based on adaptive mutative scale chaos immune algorithm

Journal of Central South University ◽

10.1007/s11771-014-1978-4 ◽

2014 ◽

Vol 21 (2) ◽

pp. 593-599 ◽

Cited By ~ 7

Author(s):

Tao-sheng Wang ◽

Hong-yan Zuo

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Measurement Model ◽

Immune Algorithm ◽

Support Vector ◽

Model Based ◽

Soft Measurement

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Semiparametric least squares support vector machine for accelerated failure time model

Journal of the Korean Statistical Society ◽

10.1016/j.jkss.2010.05.002 ◽

2011 ◽

Vol 40 (1) ◽

pp. 75-83 ◽

Cited By ~ 6

Author(s):

Jooyong Shim ◽

Choongrak Kim ◽

Changha Hwang

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Failure Time ◽

Accelerated Failure Time Model ◽

Support Vector ◽

Accelerated Failure Time ◽

Time Model ◽

Accelerated Failure ◽

Semiparametric Least Squares ◽

Failure Time Model

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