An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes

2017 11th Asian Control Conference (ASCC) ◽

10.1109/ascc.2017.8287605 ◽

2017 ◽

Author(s):

He Yanlin ◽

Wang Pingjiang ◽

Geng Zhiqiang ◽

Han Yongming ◽

Sheng Hao ◽

...

Keyword(s):

Extreme Learning Machine ◽

Chemical Processes ◽

Parallel Structure ◽

Complex Chemical ◽

Learning Machine

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An improved extreme learning machine integrated with nonlinear principal components and its application to modeling complex chemical processes

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2017.11.061 ◽

2018 ◽

Vol 130 ◽

pp. 745-753 ◽

Author(s):

Qun-Xiong Zhu ◽

Xiao Wang ◽

Yan-Lin He ◽

Yuan Xu

Keyword(s):

Extreme Learning Machine ◽

Principal Components ◽

Chemical Processes ◽

Complex Chemical ◽

Learning Machine

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Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes

Energy ◽

10.1016/j.energy.2016.12.090 ◽

2017 ◽

Vol 120 ◽

pp. 67-78 ◽

Author(s):

Zhiqiang Geng ◽

Xiao Yang ◽

Yongming Han ◽

Qunxiong Zhu

Keyword(s):

Extreme Learning Machine ◽

Energy Optimization ◽

Decomposition Analysis ◽

Chemical Processes ◽

Complex Chemical ◽

Index Decomposition Analysis ◽

Integrated Index ◽

Index Decomposition ◽

Analysis Application ◽

Learning Machine

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Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with partial least square

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.12.010 ◽

2016 ◽

Vol 151 ◽

pp. 78-88 ◽

Author(s):

YanLin He ◽

ZhiQiang Geng ◽

QunXiong Zhu

Keyword(s):

Extreme Learning Machine ◽

Nonlinear Model ◽

Soft Sensor ◽

Chemical Processes ◽

Partial Least Square ◽

Least Square ◽

Complex Chemical ◽

Sensor Development ◽

Key Variables ◽

Learning Machine

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Data driven soft sensor development for complex chemical processes using extreme learning machine

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2015.06.009 ◽

2015 ◽

Vol 102 ◽

pp. 1-11 ◽

Author(s):

Yan-Lin He ◽

Zhi-Qiang Geng ◽

Qun-Xiong Zhu

Keyword(s):

Extreme Learning Machine ◽

Soft Sensor ◽

Chemical Processes ◽

Data Driven ◽

Complex Chemical ◽

Sensor Development ◽

Learning Machine

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Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes

Energy ◽

10.1016/j.energy.2018.07.077 ◽

2018 ◽

Vol 160 ◽

pp. 898-909 ◽

Author(s):

Zhiqiang Geng ◽

Hongda Li ◽

Qunxiong Zhu ◽

Yongming Han

Keyword(s):

Energy Saving ◽

Extreme Learning Machine ◽

Chemical Processes ◽

Complex Chemical ◽

Model Based ◽

Learning Machine ◽

Production Prediction

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Soft-sensing in complex chemical process based on a sample clustering extreme learning machine model∗∗This project is supported by the National Natural Science Foundation of China (No.61104131, No.61473026) and the Fundamental Research Funds for the Central Universities (No.YS1404, No.JD1413).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.067 ◽

2015 ◽

Vol 48 (8) ◽

pp. 801-806 ◽

Author(s):

Di Peng ◽

Yuan Xu ◽

Yanqing Wang ◽

Zhiqiang Geng ◽

Qunxiong Zhu

Keyword(s):

Extreme Learning Machine ◽

Natural Science ◽

Chemical Process ◽

Machine Model ◽

Soft Sensing ◽

Complex Chemical ◽

Fundamental Research ◽

Learning Machine

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Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state

Neurocomputing ◽

10.1016/j.neucom.2015.03.007 ◽

2015 ◽

Vol 165 ◽

pp. 171-181 ◽

Author(s):

Yanlin He ◽

ZhiQiang Geng ◽

QunXiong Zhu

Keyword(s):

Steady State ◽

Extreme Learning Machine ◽

Negative Correlation ◽

Chemical Processes ◽

Learning Machine

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A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2017.03.011 ◽

2017 ◽

Vol 62 ◽

pp. 38-50 ◽

Author(s):

Zhiqiang Geng ◽

Jungen Dong ◽

Jie Chen ◽

Yongming Han

Keyword(s):

Extreme Learning Machine ◽

Soft Sensor ◽

Chemical Processes ◽

Sensor Model ◽

Learning Machine ◽

Self Organizing

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Unbalanced Radial Distribution Systems Voltage Stability Index Using Extreme Learning Machine

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v11i4.8916 ◽

2016 ◽

Vol 11 (4) ◽

pp. 428

Author(s):

Dimas Fajar Uman Putra ◽

Ontoseno Penangsang ◽

Adi Soeprijanto ◽

Hajime Miyauchi

Keyword(s):

Extreme Learning Machine ◽

Radial Distribution ◽

Distribution Systems ◽

Voltage Stability ◽

Stability Index ◽

Voltage Stability Index ◽

Learning Machine

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Steering System of Electric Vehicle using Extreme Learning Machine

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) ◽

10.23919/eecsi50503.2020.9251889 ◽

2020 ◽

Author(s):

Sofyan Ahmadi ◽

Khairul Anam ◽

Azmi Saleh

Keyword(s):

Electric Vehicle ◽

Extreme Learning Machine ◽

Steering System ◽

Learning Machine

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