Hybrid GMDH-type neural network to predict fluid surface tension, shear stress, dynamic viscosity & sensitivity analysis based on empirical data of iron(II) oxide nanoparticles in light crude oil mixture

标题
Hybrid GMDH-type neural network to predict fluid surface tension, shear stress, dynamic viscosity & sensitivity analysis based on empirical data of iron(II) oxide nanoparticles in light crude oil mixture
作者
关键词
Light crude oil, Rheological behavior, Surface tension, Iron(II) oxide nanoparticles
出版物
出版商
Elsevier BV
发表日期
2019-04-10
DOI
10.1016/j.physa.2019.04.184

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

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

Create Now