Modeling Surface Water Quality Using the Adaptive Neuro-Fuzzy Inference System Aided by Input Optimization

Modeling Surface Water Quality Using the Adaptive Neuro-Fuzzy Inference System Aided by Input Optimization

Modeling surface water quality using soft computing techniques is essential for the effective management of scarce water resources and environmental protection. The development of accurate predictive models with significant input parameters and inconsistent datasets is still a challenge. Therefore,...

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Bibliographic Details
Main Authors: Muhammad Izhar Shah, Taher Abunama, Muhammad Faisal Javed, Faizal Bux, Ali Aldrees, Muhammad Atiq Ur Rehman Tariq, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sustainability
Subjects:
data-driven
outlier detection
machine learning
surface water quality
input optimization
neuro-fuzzy
Online Access:https://www.mdpi.com/2071-1050/13/8/4576

Internet

https://www.mdpi.com/2071-1050/13/8/4576

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