Development of prediction model for phosphate in reservoir water system based machine learning algorithms
Authors:
- Sarmad Dashti LatifSLSarmad Dashti Latif
- Ahmed H. BirimaABAhmed H. Birima
- Ali Najah AhmedAli Najah Ahmed
- Dahan Mohammed HatemDHDahan Mohammed Hatem
- Nadhir Al-AnsariNadhir Al-Ansari
- Chow Ming FaiCFChow Ming Fai
- Ahmed El-ShafieAEAhmed El-Shafie
Open Access
- 1 January 2022
- journal article
- research article
- Published by Elsevier in Ain Shams Engineering Journal
- Vol. 13 (1) , 101523
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Higher Education, Malaysia
- Universiti Tenaga Nasional
- Bundesministerium für Forschung, Technologie und Raumfahrt
This publication has 32 references indexed in Scilit:
- Long Term Trends and Dynamics of Dissolved Organic Carbon (DOC) in a Subtropical Reservoir BasinWater, 2017
- Estimating the gross budget of applied nitrogen and phosphorus in tea plantationsSustainable Environment Research, 2016
- Forecasting Groundwater Level by Artificial Neural Networks as an Alternative Approach to Groundwater ModelingJournal of the Geological Society of India, 2015
- Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)Water Resources Management, 2013
- Applying a Multivariate Statistical Analysis Model to Evaluate the Water Quality of a WatershedWater Environment Research, 2012
- Application of artificial neural networks for water quality predictionNeural Computing and Applications, 2012
- Application of Neural Network for Scour and Air Entrainment Prediction2009
- Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed SimulationsTransactions of the ASABE, 2007
- Phosphorus Load Reduction Goals for Feitsui Reservoir Watershed, TaiwanEnvironmental Monitoring and Assessment, 2006
- The Nature of Statistical Learning Theory2000