Earthfill dam seepage analysis using ensemble artificial intelligence based modeling

• Published in: Journal of hydroinformatics Vol. 20; no. 5; pp. 1071 - 1084
• Main Authors: Sharghi, Elnaz, Nourani, Vahid, Behfar, Nazanin
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.09.2018
• Subjects: Adaptive systems; Artificial intelligence; Dams; Damsites; Earth dams; Finite element analysis; Fuzzy logic; Fuzzy systems; Hydraulics; Methods; Modelling; Neural networks; Performance prediction; Post-production processing; Regression analysis; Runoff; Seepage; Support vector machines; Time series; Poland; New York; Iran; United States > US

In this paper, an ensemble artificial intelligence (AI) based model is proposed for seepage modeling. For this purpose, firstly several AI models (i.e. Feed Forward Neural Network, Support Vector Regression and Adaptive Neural Fuzzy Inference System) were employed to model seepage through the Sattar...