Predictive models using supervised neural network for pollutant removal efficiency in petrochemical wastewater treatment

Predictive models using supervised neural network for pollutant removal efficiency in petrochemical wastewater treatment

The important process in wastewater treatment is the removal of pollutants, and the dataset having so many features may cause difficulty training the data and predicting key variables. This work aims to propose set parameters through normalization techniques, feature selection techniques, and AI tec...

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Bibliographic Details
Main Authors: Mohan, Varun Geetha, Al-Fahim, Mubarak-Ali, Ameedeen, Mohamed Ariff, Vijayan, Bincy Lathakumary, Aminuddin, Afrig, Widayani, Wiwi
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2022
Subjects:
QA76 Computer software
QD Chemistry
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/35990/
http://umpir.ump.edu.my/id/eprint/35990/2/Predictive%20Models%20Using%20Supervised%20Neural_FULL.pdf
http://umpir.ump.edu.my/id/eprint/35990/3/Predictive%20models%20using%20supervised%20neural%20network%20for%20pollutant%20removal%20.pdf

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