Machine learning methods for better water quality prediction

• Main Authors: Najah Ahmed A., Binti Othman F., Abdulmohsin Afan H., Khaleel Ibrahim R., Ming Fai C., Shabbir Hossain M., Ehteram M., Elshafie A.
• Other Authors: 57214837520
• Format: Article
• Published: Elsevier B.V. 2023

Forecasting; Fuzzy neural networks; Fuzzy systems; Large dataset; Learning systems; Machine learning; Multilayer neural networks; Network layers; Quality control; Radial basis function networks; Random errors; Systematic errors; Water management; Water quality; Adaptive neuro-fuzzy inference system; Multi-layer perceptron neural networks; Neuro-fuzzy inference systems; Radial basis function neural networks; Water quality parameters; Water quality predictions; Wavelet de-noising techniques; WDT-ANFIS; Fuzzy inference; accuracy assessment; complexity; data set; environmental degradation; error analysis; experimental study; human activity; machine learning; nonlinearity; parameterization; prediction; water quality; Johor; Johor Basin; Malaysia; West Malaysia