Using an artificial neural network to predict carbon dioxide compressibility factor at high pressure and temperature

标题
Using an artificial neural network to predict carbon dioxide compressibility factor at high pressure and temperature
作者
关键词
Carbon Dioxide, Compressibility Factor, Artificial Neural Network, Equations of State, Leverage Approach
出版物
KOREAN JOURNAL OF CHEMICAL ENGINEERING
Volume 32, Issue 10, Pages 2087-2096
出版商
Springer Nature
发表日期
2015-06-11
DOI
10.1007/s11814-015-0025-y

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

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