Combined use of partial least squares regression and neural network for diagnosis tasks

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. ◽

10.1109/icpr.2004.1333837 ◽

2004 ◽

Author(s):

A. Debiolles ◽

L. Oukhellou ◽

P. Aknin

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

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Combined use of partial least-squares regression and neural network for residual life estimation of large generator stator insulation

Measurement Science and Technology ◽

10.1088/0957-0233/18/7/038 ◽

2007 ◽

Vol 18 (7) ◽

pp. 2074-2082 ◽

Author(s):

Ruihua Li ◽

Guoxiang Meng ◽

Naikui Gao ◽

Hengkun Xie

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Residual Life ◽

Least Squares Regression ◽

Life Estimation ◽

Combined Use ◽

Generator Stator

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Inverse model formulation of partial least-squares regression: a robust neural network approach

10.1117/12.304821 ◽

1998 ◽

Author(s):

Fredric M. Ham ◽

Thomas M. McDowall

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Inverse Model ◽

Least Squares Regression ◽

Network Approach ◽

Model Formulation ◽

Neural Network Approach

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Robust partial least-squares regression: a modular neural network approach

10.1117/12.271496 ◽

1997 ◽

Author(s):

Thomas M. McDowall ◽

Fredric M. Ham

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Network Approach ◽

Neural Network Approach ◽

Modular Neural Network

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A predictive modeling for blast furnace by integrating neural network with partial least squares regression

IEEE Conference on Cybernetics and Intelligent Systems, 2004. ◽

10.1109/iccis.2004.1460785 ◽

2005 ◽

Author(s):

Xiaojing Hao ◽

Peng Zheng ◽

Zhi Xie ◽

Gang Du ◽

Fengman Shen

Keyword(s):

Neural Network ◽

Blast Furnace ◽

Least Squares ◽

Partial Least Squares ◽

Predictive Modeling ◽

Partial Least Squares Regression ◽

Least Squares Regression

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Comparison between artificial neural network and partial least squares regression models for hardness modeling during the ripening process of Swiss-type cheese using spectral profiles

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2017.09.008 ◽

2018 ◽

Vol 219 ◽

pp. 8-15 ◽

Author(s):

Nadya Vásquez ◽

Claudia Magán ◽

Jimy Oblitas ◽

Tony Chuquizuta ◽

Himer Avila-George ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Regression Models ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Ripening Process ◽

Spectral Profiles ◽

Artificial Neural

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Neural network ensemble modeling for nosiheptide fermentation process based on partial least squares regression

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2010.11.007 ◽

2011 ◽

Vol 105 (1) ◽

pp. 125-130 ◽

Author(s):

Da-peng Niu ◽

Fu-li Wang ◽

Ling-ling Zhang ◽

Da-kuo He ◽

Ming-xing Jia

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Fermentation Process ◽

Partial Least Squares Regression ◽

Ensemble Modeling ◽

Least Squares Regression ◽

Neural Network Ensemble

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Bayesian Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Rainfall Forecasting

2009 International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2009.311 ◽

2009 ◽

Author(s):

Xiaoming Pan ◽

Jiansheng Wu

Keyword(s):

Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Ensemble Model ◽

Least Squares Regression ◽

Neural Network Ensemble ◽

Rainfall Forecasting ◽

Bayesian Neural Network ◽

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Application of Coupling Model with Neural Network and Projection Pursuit Based on Partial Least-Squares Regression to Water Resources Carrying Capacity Forecasting

2012 Fifth International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2012.261 ◽

2012 ◽

Author(s):

Xiao-Yong Zhao

Keyword(s):

Neural Network ◽

Water Resources ◽

Least Squares ◽

Partial Least Squares ◽

Carrying Capacity ◽

Partial Least Squares Regression ◽

Projection Pursuit ◽

Coupling Model ◽

Least Squares Regression ◽

Water Resources Carrying Capacity

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X-ray fluorescence spectroscopic analysis of trace elements in soil with an adaboost back propagation neural network and multivariate-partial least squares regression

Measurement Science and Technology ◽

10.1088/1361-6501/abf61a ◽

2021 ◽

Author(s):

Fusheng Li ◽

Wanqi Yang ◽

Qian Ma ◽

Huizhu Cheng ◽

Xin Lu ◽

...

Keyword(s):

Neural Network ◽

Trace Elements ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Spectroscopic Analysis ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Least Squares Regression ◽

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Automatic preprocessing of laser-induced breakdown spectra using partial least squares regression and feed-forward artificial neural network: Applications to Earth and Mars data

Spectrochimica Acta Part B Atomic Spectroscopy ◽

10.1016/j.sab.2020.105930 ◽

2020 ◽

Vol 171 ◽

pp. 105930

Author(s):

Ebo Ewusi-Annan ◽

Dorothea M. Delapp ◽

Roger C. Wiens ◽

Noureddine Melikechi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Feed Forward ◽

Network Applications ◽

Laser Induced Breakdown ◽

Neural Network Applications

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