Scour prediction in long contractions using ANFIS and SVM

• Main Authors: Najafzadeh, Mohammad, Etemad-Shahidi, Amir, Lim, Siow Yong
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Adaptive Neuro-Fuzzy Inference System; Support vector machines; Long contraction; Rectangular channel; Scour depth; Traditional equations
• Online Access: https://hdl.handle.net/10356/82808; http://hdl.handle.net/10220/40327
• Institution: Nanyang Technological University

Protection of the channel bed in waterways against scour phenomena in long contractions is a very significant issue in channels design. Several field and experimental investigations were carried out to produce a relationship between the scour depth due to the contracted channels width and the govern...