Prediction of CO2 adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM-Reference-Cited by-同舟云学术

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Prediction of CO2 adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM

Published:2018-12-20 Issue:16 Volume:41 Page:1960-1971
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Zhou Liang¹

Affiliation:

1. School of Chemical Engineering, Guizhou Institute of Technology, Guiyang, China

Funder

Guizhou Institute of Technology

Natural Science Research Project of Guizhou Provincial Education Office

Guizhou Province Science and Technology

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2018.1548521

Reference33 articles.

1. Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine

2. Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion

3. CO2 capture using some fly ash-derived carbon materials

4. CO2 capture by adsorption: Materials and process development

5. The Petlyuk PSA process for the separation of ternary gas mixtures: exemplification by separating a mixture of CO2–CH4–N2

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