Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies

Title
Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies
Authors
Keywords
Diesosenol, Adulteration, Oxygenated fuel, Artificial intelligence, GEP
Journal
FUEL
Volume 235, Issue -, Pages 317-325
Publisher
Elsevier BV
Online
2018-07-31
DOI
10.1016/j.fuel.2018.07.116

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started