Comparative analysis of feed-forward neural network and second-order polynomial regression in textile wastewater treatment efficiency

Comparative analysis of feed-forward neural network and second-order polynomial regression in textile wastewater treatment efficiency

This study refines a single-layer Feed-Forward Neural Network (FFNN) for the treatment of textile dye wastewater, concentrating on percentage decolorization (%DEC) and percentage chemical oxygen demand (%COD) reduction. The optimized neural network configuration comprises four input and one output n...

Full description

Bibliographic Details
Main Authors: Ali S. Alkorbi, Muhammad Tanveer, Humayoun Shahid, Muhammad Bilal Qadir, Fayyaz Ahmad, Zubair Khaliq, Mohammed Jalalah, Muhammad Irfan, Hassan Algadi, Farid A. Harraz
Format: Article
Language:English
Published: AIMS Press 2024-03-01
Series:AIMS Mathematics
Subjects:
feed-forward neural network
machine learning
multi-objective optimization
treatment of textile wastewater
decolorization
chemical oxygen demand
sustainable environment
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024536?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/math.2024536?viewType=HTML

Similar Items