Soft sensor modeling for fraction yield of crude oil based on ensemble deep learning-Reference-Cited by-同舟云学术

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Soft sensor modeling for fraction yield of crude oil based on ensemble deep learning

Published:2020-09 Issue: Volume:204 Page:104087
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Yi Ling,Lu Jun,Ding Jinliang,Liu Changxin,Chai Tianyou

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Xingliao Plan of Liaoning Province

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference64 articles.

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2. Neural network (ANN) approach to biodiesel analysis: analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy;Balabin;Fuel,2011

3. A novel adaptive algorithm with near-infrared spectroscopy and its application in online gasoline blending processes;He;Chemometr. Intell. Lab. Syst.,2015

4. Quantitative analysis of constituents in heavy fuel oil by 1 H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis;Nielsen;Energ. Fuels,2008

5. Estimation of properties of crude oil residual fractions using chemometrics;Satya;Energ. Fuels,2007

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