A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions

A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions

Water quality has a significant influence on human health. As a result, water quality parameter modelling is one of the most challenging problems in the water sector. Therefore, the major factor in choosing an appropriate prediction model is accuracy. This research aims to analyse hybrid techniques...

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Bibliographic Details
Main Authors: Zahraa S. Khudhair, Salah L. Zubaidi, Sandra Ortega-Martorell, Nadhir Al-Ansari, Saleem Ethaib, Khalid Hashim
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Environments
Subjects:
water quality parameters
hybrid model
metaheuristic algorithms
machine learning
Online Access:https://www.mdpi.com/2076-3298/9/7/85

Internet

https://www.mdpi.com/2076-3298/9/7/85

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