Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir

标题
Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir
作者
关键词
Gated piano key (GPK) weir, Experimental model, Discharge coefficient (<em class="EmphasisTypeItalic ">C</em><sub><em class="EmphasisTypeItalic ">d</em></sub>), Gaussian process regression (GPR), Artificial intelligence
出版物
WATER RESOURCES MANAGEMENT
Volume 33, Issue 11, Pages 3929-3947
出版商
Springer Science and Business Media LLC
发表日期
2019-08-22
DOI
10.1007/s11269-019-02343-3

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

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started