Development of prediction model for chlorination wastewater treatment plants using artificial neural networks with Mahalanobis distance - based support vector machine

• Main Author: Jaluague, Andrei Fryle
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: Sewage disposal plants; Sewage—Purification—Chlorination; Chlorination; Chemical Engineering; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etdb_chemeng/24; https://animorepository.dlsu.edu.ph/context/etdb_chemeng/article/1022/viewcontent/2022_Jaluague_CompleteVersionETD.pdf
• Institution: De La Salle University

The performance of chlorination wastewater treatment plants (WWTPs) must be determined to identify its effectiveness in reducing pollutants in wastewater. This is directly affected by influent conditions (ICs), which reflects the behavior of the plant’s external environment. These effects were integ...