A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms

A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms

Accurate prediction of inlet chemical oxygen demand (COD) is vital for better planning and management of wastewater treatment plants. The COD values at the inlet follow a complex nonstationary pattern, making its prediction challenging. This study compared the performance of several novel machine le...

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Bibliographic Details
Main Authors: Alavi, Javad, Ewees, Ahmed A., Ansari, Sepideh, Shahid, Shamsuddin, Yaseen, Zaher Mundher
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/103762/
http://dx.doi.org/10.1007/s11356-021-17190-2
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Institution: Universiti Teknologi Malaysia

Internet

http://eprints.utm.my/103762/
http://dx.doi.org/10.1007/s11356-021-17190-2

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