A Supervised Neural Network-based predictive model for petrochemical wastewater treatment dataset

• Main Authors: Varun, Geetha Mohan, Mubarak Ali, Al-Fahim, Vijayan, Bincy Lathakumary, Saiful, Azad, Mohamed Ariff, Ameedeen
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE Explorer 2022
• Subjects: TP Chemical technology; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/35203/1/A_Supervised_Neural_Network-based_predictive_model_for_petrochemical_wastewater_treatment_dataset.pdf; http://umpir.ump.edu.my/id/eprint/35203/; http://10.1109/ICEEICT53079.2022.9768566; http://10.1109/ICEEICT53079.2022.9768566
• Institution: Universiti Malaysia Pahang

It is understood that water is the most valuable natural resource and as like wastewater treatment plants are necessary base to control the environmental balance where they are installed. To ensure good quality effluents, the dynamic and complicated wastewater treatment procedure must be handled eff...