A paradigm for data-driven predictive modeling using field inversion and machine learning

标题
A paradigm for data-driven predictive modeling using field inversion and machine learning
作者
关键词
Data-driven modeling, Machine learning, Closure modeling
出版物
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 305, Issue -, Pages 758-774
出版商
Elsevier BV
发表日期
2015-11-11
DOI
10.1016/j.jcp.2015.11.012

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

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

Create Now