The implementation of artificial neural networks for the multivariable optimization of mesoporous NiO nanocrystalline: biodiesel application-Reference-Cited by-同舟云学术

The implementation of artificial neural networks for the multivariable optimization of mesoporous NiO nanocrystalline: biodiesel application

Published:2020 Issue:22 Volume:10 Page:13302-13315
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Soltani Soroush¹²³^ORCID,Shojaei Taha Roodbar⁴⁵⁶⁷⁸,Khanian Nasrin⁹¹⁰¹¹⁸¹²,Yaw Choong Thomas Shean¹²³,Rashid Umer¹³²³,Nehdi Imededdine Arbi¹⁴¹⁵¹⁶¹⁷¹⁸,Yusoff Rozita Binti¹⁹²⁰²¹²²³

Affiliation:

1. Department of Chemical and Environmental Engineering

2. Universiti Putra Malaysia

3. Malaysia

4. Department of Mechanical Engineering of Agricultural Machinery

5. Faculty of Agricultural Engineering and Technology

6. College of Agriculture and Natural Resources

7. University of Tehran

8. Karaj

9. Department of Physics

10. Faculty of Science

11. Islamic Azad University

12. Iran

13. Institute of Advanced Technology

14. Department of Chemistry

15. College of Science

16. King Saud University

17. Riyadh 11451

18. Saudi Arabia

19. Department of Chemical Engineering

20. Faculty of Engineering

21. University of Malaya

22. 50603 Kuala Lumpur

Abstract

In the present research, artificial neural network (ANN) modelling was utilized to determine the relative importance of effective variables to achieve optimum specific surface areas of a synthesized catalyst.

Funder

Universiti Putra Malaysia

King Saud University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RA/D0RA00892C

Reference39 articles.

1. Biodiesel production from tobacco (Nicotiana tabacum L.) seed oil with a high content of free fatty acids

2. Solid acid mediated hydrolysis of biomass for producing biofuels

3. Mesoporous materials as gas sensors

4. An overview of the synthesis of ordered mesoporous materials

5. S.Soltani , U.Rashid , S. I.Al-Resayes and I. A.Nehdi , Mesoporous Catalysts for Biodiesel Production: A New Approach , Clean Energy for Sustainable Development , Academic Press , 2017 , pp. 487–506

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the 3D printed catalyst for biomass-bio-oil conversion: Key technologies and challenges;Journal of Catalysis;2023-01

2. Machine learning predictive model for evaluating the cooking characteristics of moisture conditioned and infrared heated cowpea;Scientific Reports;2022-06-02

3. Artificial neural network method modeling of microwave-assisted esterification of PFAD over mesoporous TiO2‒ZnO catalyst;Renewable Energy;2022-03

4. Synthesis, Characterizations, Functionalizations, and Biomedical Applications of Spherical Cellulose Nanoparticles;Handbook of Nanocelluloses;2022

5. Microwave-assisted hydrothermal synthesis of sulfonated TiO2-GO core–shell solid spheres as heterogeneous esterification mesoporous catalyst for biodiesel production;Energy Conversion and Management;2021-06