Bat algorithm optimized extreme learning machine: A new modeling strategy for predicting river water turbidity at the United States

Author:

Heddam Salim

Publisher

Elsevier

Reference45 articles.

1. Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data;Adnan;Neural Comput. Applic.,2021

2. Retrieval of turbidity on a spatio-temporal scale using Landsat 8 SR: a case study of the Ramganga River in the Ganges Basin, India;Allam;Appl. Sci.,2020

3. Using turbidity to determine total suspended solids in storm-water runoff from green roofs;Al-Yaseri;J. Environ. Eng.,2013

4. Boosting label weighted extreme learning machine for classifying multi-label imbalanced data;Cheng;Neurocomputing,2020

5. Dry sliding wear characteristics evaluation and prediction of vacuum casted marble dust (MD) reinforced ZA-27 alloy composites using hybrid improved bat algorithm and ANN;Gangwar;Mater. Today Commun.,2020

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