A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction-Reference-Cited by-同舟云学术

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A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction

Published:2024-01 Issue: Volume: Page:
ISSN:1995-8226
Container-title:Petroleum Science
language:en
Short-container-title:Petroleum Science

Author:

Liu Nan,Zhu Chun-Meng,Zhang Meng-Xuan,Lan Xing-Ying

Funder

China University of Petroleum Beijing

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology,Geophysics,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference54 articles.

1. A comprehensive review on pyrolysis from the circular economy point of view and its environmental and social effects;Andooz;J. Clean. Prod.,2023

2. Interpretable machine learning to model biomass and waste gasification;Ascher;Bioresour. Technol.,2022

3. Machine learning based predictive model for methanol steam reforming with technical, environmental, and economic perspectives;Byun;Chem. Eng. J.,2021

4. Smart and optimal manufacturing for process industry;Chai;Chinese Journal of Engineering Science,2018

5. Intelligent Fault diagnosis of rolling bearings with low-quality data: a feature significance and diversity learning method;Chen;Reliab. Eng. Syst. Saf.,2023

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