An ANFIS-based approach for predicting the bed load for moderately sized rivers
A total of 346 sets of bed-load data obtained from the Kinta River, Pari River, Kerayong River and Langat River were analyzed using four common bed-load equations. These assessments, based on the median sediment size (d50), show that the existing equations were unable to predict the measured bed loa...
Published in: | Journal of Hydro-Environment Research |
---|---|
Main Author: | 2-s2.0-67349204543 |
Format: | Article |
Language: | English |
Published: |
2009
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-67349204543&doi=10.1016%2fj.jher.2008.10.003&partnerID=40&md5=9d10c48cd7769043e715af7ad5d43b8c |
Similar Items
-
Application of automated grain sizing technique (AGS) for bed load samples at Rasil River: A case study for supply limited channel
by: Sulaiman M.S.; Sinnakaudan S.K.; Ng S.F.; Strom K.
Published: (2014) -
Multiple Linear Regression Model for Total Bed Material Load Prediction
by: 2-s2.0-33645829512
Published: (2006) -
Modelling combustion process in circulating fluidised bed boiler: A fuzzy graph approach
by: Ismail R.; Bakar S.A.; Yusof N.S.
Published: (2014) -
Finite element-based fatigue life prediction of a load-carrying cruciform joint
by: 2-s2.0-84938634562
Published: (2015) -
Missing River Discharge Data Imputation Approach using Artificial Neural Network
by: 2-s2.0-85101170010
Published: (2015)