Chemical process modeling with multiple neural networks

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7076515 ◽

2001 ◽

Author(s):

Wen Yu ◽

Francisco J. Pineda

Keyword(s):

Neural Networks ◽

Process Modeling ◽

Chemical Process ◽

Multiple Neural Networks

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CHEMICAL PROCESS IDENTIFICATION WITH MULTIPLE NEURAL NETWORKS

International Journal of Computational Engineering Science ◽

10.1142/s1465876302000691 ◽

2002 ◽

Vol 03 (04) ◽

pp. 385-407 ◽

Author(s):

WEN YU ◽

XIAOOU LI

Keyword(s):

Neural Networks ◽

Chemical Process ◽

Process Identification ◽

Multiple Neural Networks

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Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot

10.23919/icac50006.2021.9594242 ◽

2021 ◽

Author(s):

Shengkai Wang ◽

Jie Zhang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Information Fusion ◽

Chemical Process ◽

Data Driven ◽

Multiple Neural Networks

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Synchronization of bidirection multiple neural networks with impulsive coupling control

Advances in Difference Equations ◽

10.1186/s13662-020-02796-6 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Yong Wang ◽

Ailong Wu ◽

Biwen Li

Keyword(s):

Neural Networks ◽

Multiple Neural Networks

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Robust classification of multispectral data using multiple neural networks and fuzzy integral

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.582004 ◽

1997 ◽

Vol 35 (3) ◽

pp. 787-790 ◽

Author(s):

A.S. Kumar ◽

S.K. Basu ◽

K.L. Majumdar

Keyword(s):

Neural Networks ◽

Fuzzy Integral ◽

Robust Classification ◽

Multispectral Data ◽

Multiple Neural Networks

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Synchronisation of multiple neural networks via event‐triggered time‐varying delay hybrid impulsive control

IET Control Theory and Applications ◽

10.1049/cth2.12194 ◽

2021 ◽

Author(s):

Xiaoli Ruan ◽

Chen Xu ◽

Jianwen Feng ◽

Jingyi Wang ◽

Yi Zhao

Keyword(s):

Neural Networks ◽

Impulsive Control ◽

Time Varying ◽

Time Varying Delay ◽

Multiple Neural Networks ◽

Varying Delay ◽

Event Triggered

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Image Classification Using Fusion of Multiple Neural Networks

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) ◽

10.1109/itc-cscc52171.2021.9501468 ◽

2021 ◽

Author(s):

Jiayi Fan ◽

JangHyeon Lee ◽

YongKeun Lee

Keyword(s):

Neural Networks ◽

Image Classification ◽

Multiple Neural Networks

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Adaptive Data Dimensionality Reduction for Chemical Process Modeling Based on the Information Criterion Related to Data Association and Redundancy

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.1c04926 ◽

2022 ◽

Author(s):

Lei Luo ◽

Ge He ◽

Chen Chen ◽

Xu Ji ◽

Li Zhou ◽

...

Keyword(s):

Dimensionality Reduction ◽

Process Modeling ◽

Chemical Process ◽

Data Association ◽

Information Criterion ◽

Data Dimensionality Reduction

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Combining multiple neural networks by fuzzy integral for robust classification

IEEE Transactions on Systems Man and Cybernetics ◽

10.1109/21.364825 ◽

1995 ◽

Vol 25 (2) ◽

pp. 380-384 ◽

Author(s):

Sung-Bae Cho ◽

J.H. Kim

Keyword(s):

Neural Networks ◽

Fuzzy Integral ◽

Robust Classification ◽

Multiple Neural Networks

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Error correction method based on multiple neural networks for UHF partial discharge localization

IEEE Transactions on Dielectrics and Electrical Insulation ◽

10.1109/tdei.2017.006764 ◽

2017 ◽

Vol 24 (6) ◽

pp. 3730-3738 ◽

Author(s):

Nan Zhou ◽

Lingen Luo ◽

Jingde Chen ◽

Gehao Sheng ◽

Xiuchen Jiang

Keyword(s):

Neural Networks ◽

Error Correction ◽

Partial Discharge ◽

Correction Method ◽

Error Correction Method ◽

Multiple Neural Networks

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Finite-time synchronization of Heterogeneous Fractional-order Multiple Neural Networks with Impulsive Disturbance Via Hybrid Control

10.1109/iccia52886.2021.00028 ◽

2021 ◽

Author(s):

Taotao Hu ◽

Zheng He ◽

Xiaojun Zhang ◽

Shouming Zhong

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Finite Time ◽

Time Synchronization ◽

Hybrid Control ◽

Multiple Neural Networks

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