Soft Sensor Development with Nonlinear Variable Selection Using Nonnegative Garrote and Artificial Neural Network

Variable Selection ◽

Soft Sensor ◽

Sensor Development ◽

Artificial Neural ◽

Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote

Journal of Process Control ◽

10.1016/j.jprocont.2014.05.010 ◽

2014 ◽

Vol 24 (7) ◽

pp. 1068-1075 ◽

Cited By ~ 25

Author(s):

Kai Sun ◽

Jialin Liu ◽

Jia-Lin Kang ◽

Shi-Shang Jang ◽

David Shan-Hill Wong ◽

...

Keyword(s):

Neural Network ◽

Variable Selection ◽

Selection Method ◽

Soft Sensor ◽

Variable Selection Method ◽

Artificial Neural ◽

2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

A fast variable selection for nonnegative garrote-based artificial neural network

10.1109/ecticon.2016.7561438 ◽

2016 ◽

Author(s):

Chaiyasit Waleesuksan ◽

Sarawan Wongsa

Keyword(s):

Neural Network ◽

Variable Selection ◽

Fast Variable ◽

Selection For ◽

Artificial Neural ◽

Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies

Journal of Chemometrics ◽

10.1002/cem.3338 ◽

2021 ◽

Author(s):

Zeinab Mozafari ◽

Mansour Arab Chamjangali ◽

Mohammad Arashi ◽

Nasser Goudarzi

Keyword(s):

Neural Network ◽

Variable Selection ◽

Selection Method ◽

Absolute Deviation ◽

Qsar Studies ◽

Variable Selection Method ◽

Smoothly Clipped Absolute Deviation ◽

Soft-sensor development with adaptive variable selection using nonnegative garrote

Control Engineering Practice ◽

10.1016/j.conengprac.2013.05.006 ◽

2013 ◽

Vol 21 (9) ◽

pp. 1157-1164 ◽

Cited By ~ 16

Author(s):

Jian-Guo Wang ◽

Shi-Shang Jang ◽

David Shan-Hill Wong ◽

Shyan-Shu Shieh ◽

Chan-Wei Wu

Keyword(s):

Variable Selection ◽

Soft Sensor ◽

Sensor Development ◽

Estimation of fungal biomass using multiphase artificial neural network based dynamic soft sensor

Journal of Microbiological Methods ◽

10.1016/j.mimet.2019.02.002 ◽

2019 ◽

Vol 159 ◽

pp. 5-11 ◽

Cited By ~ 8

Author(s):

Chitra Murugan ◽

Pappa Natarajan

Keyword(s):

Neural Network ◽

Fungal Biomass ◽

Soft Sensor ◽

A novel soft sensor model based on artificial neural network in the fermentation process

AFRICAN JOURNAL OF BIOTECHNOLOGY ◽

10.5897/ajb11.2163 ◽

2011 ◽

Vol 10 (85) ◽

Author(s):

Guohai Liu

Keyword(s):

Neural Network ◽

Fermentation Process ◽

Soft Sensor ◽

Model Based ◽

Sensor Model ◽

Counter-propagation artificial neural network as a tool for the independent variable selection: Structure-mutagenicity study on aromatic amines

Molecular Diversity ◽

10.1023/b:modi.0000047502.66802.3d ◽

2004 ◽

Vol 8 (4) ◽

pp. 371-377 ◽

Cited By ~ 13

Author(s):

Aneta Jezierska ◽

Marjan Vračko ◽

Subhash C. Basak

Keyword(s):

Neural Network ◽

Variable Selection ◽

Aromatic Amines ◽

Independent Variable ◽

Modeling of Soft sensor based on Artificial Neural Network for Galactic Cosmic Rays Application

Journal of Physics Conference Series ◽

10.1088/1742-6596/539/1/012021 ◽

2014 ◽

Vol 539 ◽

pp. 012021 ◽

Cited By ~ 1

Author(s):

W Suparta ◽

W S Putro

Keyword(s):

Neural Network ◽

Cosmic Rays ◽

Galactic Cosmic Rays ◽

Soft Sensor ◽

A robust soft sensor to monitor 1,3‐propanediol fermentation process by Clostridium butyricum based on artificial neural network

Biotechnology and Bioengineering ◽

10.1002/bit.27507 ◽

2020 ◽

Vol 117 (11) ◽

pp. 3345-3355

Author(s):

Ai‐Hui Zhang ◽

Kai‐Yi Zhu ◽

Xiao‐Yan Zhuang ◽

Lang‐Xing Liao ◽

Shi‐Yang Huang ◽

...

Keyword(s):

Neural Network ◽

Fermentation Process ◽

Soft Sensor ◽

Clostridium Butyricum ◽

New Challenges in Applied Intelligence Technologies - Studies in Computational Intelligence ◽

Gating Artificial Neural Network Based Soft Sensor

10.1007/978-3-540-79355-7_19 ◽

2008 ◽

pp. 193-202 ◽

Cited By ~ 2

Author(s):

Petr Kadlec ◽

Bogdan Gabrys

Keyword(s):

Neural Network ◽

Soft Sensor ◽