Estimation of water quality index using artificial intelligence approaches and multi-linear regression

• Main Authors: Gaya, Muhammad Sani, Abba, Sani Isah, Muhammad Abdu, Aliyu, Tukur, Abubakar Ibrahim, Saleh, Mubarak Auwal, Esmaili, Parvaneh, Abdul Wahab, Norhaliza
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/93666/1/NorhalizaAbdulWahab2020_EstimationofWaterQualityIndexUsing.pdf; http://eprints.utm.my/id/eprint/93666/; http://dx.doi.org/10.11591/ijai.v9.i1.pp126-134
• Institution: Universiti Teknologi Malaysia

Water quality index is a measure of water quality at a certain location and over a period of time. High value indicates that the water is unsafe for drinking and inadequate in quality to meet the designated uses. Most of the classical models are unreliable producing unpromising forecasting results....