Improving total sediment load prediction using genetic programming technique (Case Study: Malaysia)
Predicted total sediment load is usually used to identify the intensity of a sedimentation process. Currently, the existing available models to predict total load are mostly developed based on data collected from flumes, channels and rivers located in western countries. These models known as sedimen...
Saved in:
Main Authors: | N. A., Ahmad Abdul Ghani, N. A., Kamal, J., Ariffin |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Institute of Physics Publishing
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/36007/1/Improving%20total%20sediment%20load%20prediction%20using%20genetic%20programming%20technique%20%28Case%20Study_Malaysia%29.pdf http://umpir.ump.edu.my/id/eprint/36007/ https://doi.org/10.1088/1757-899X/736/2/022108 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving Total Sediment Load Prediction using the GE Technique (Case Study: Malaysia)
by: Nadiatul Adilah, Ahmad Abdul Ghani, et al.
Published: (2017) -
Use of Evolutionary Polynomial Regression (EPR) for Prediction of Total Sediment Load of Malaysian Rivers
by: Nadiatul Adilah, Ahmad Abdul Ghani, et al.
Published: (2012) -
Sediment load prediction for rivers in Malaysia using evolutionary polynomial regression technique
by: Nadiatul Adilah, Ahmad Abdul Ghani, et al.
Published: (2018) -
Sediment load analysis in Lake Chini
by: Norlida, Mohd Dom, et al.
Published: (2016) -
Prediction of Suspended Sediment Load Using Data-Driven Models
by: Adnan, Rana Muhammad, et al.
Published: (2019)