Learning from a carbon dioxide capture system dataset: Application of the piecewise neural network algorithm-Reference-Cited by-同舟云学术

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Learning from a carbon dioxide capture system dataset: Application of the piecewise neural network algorithm

Published:2017-03 Issue:1 Volume:3 Page:56-67
ISSN:2405-6561
Container-title:Petroleum
language:en
Short-container-title:Petroleum

Author:

Chan Veronica,Chan Christine

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. Carbon dioxide capture by absorption, challenges and possibilities;Svendsen;Chem. Eng. J.,2011

2. Power plant post-combustion carbon dioxide capture : an opportunity for membranes;Merkel;J. Membr. Sci.,2010

3. Part 4b: application of data modeling and analysis techniques to the CO2 capture process system;Zhou;J. Carbon Manag.,2012

4. A statistical analysis of the carbon dioxide capture process;Zhou;Greenh. Gas. Control,2009

5. Application of three data analysis techniques for modeling the carbon dioxide capture process;Zhou,2010

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1. A generic machine learning model for CO2 equilibrium solubility into blended amine solutions;Separation and Purification Technology;2024-04

2. Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review;Fuel;2023-12

3. A circularity accounting network: CO2 measurement along supply chains using machine learning;Revista de Contabilidad;2023-10-15

4. Artificial intelligence and response surface methodology to predict CO₂ capture using piperazine‐modified activated alumina;Environmental Progress & Sustainable Energy;2023-03-28

5. Agent-Based and Stochastic Optimization Incorporated with Machine Learning for Simulation of Postcombustion CO2 Capture Process;Processes;2022-12-16

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