Machine Learning Approach to Predict Sediment Load - A Case Study-Reference-Cited by-同舟云学术

Machine Learning Approach to Predict Sediment Load - A Case Study

Published:2010-10 Issue:10 Volume:38 Page:969-976
ISSN:1863-0650
Container-title:CLEAN - Soil, Air, Water
language:en
Short-container-title:Clean Soil Air Water

Author:

Azamathulla Hazi Md.,Ghani Aminuddin Ab.,Chang Chun Kiat,Hasan Zorkeflee Abu,Zakaria Nor Azazi

Publisher

Wiley

Subject

Pollution,Water Science and Technology,Environmental Chemistry

Reference22 articles.

1. Suspended Sediment Estimation Using Neuro-fuzzy and Neural Network Approaches;Kisi;Hydrol. Sci.,2005

2. E. M. D. Sasal S. Isik Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2005 2005 395 406

3. 2009

4. An ANFIS-Based Approach for Predicting the Bed Load for Moderately-Sized Rivers;Azamathulla;J. Hydro-environ. Res.,2009

5. M. Prediction of Sediment Load Concentration in Rivers Using Artificial Neural Network Model;Nagy;J. Hydraulic Eng.,2002

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