An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model

Engineering & Materials Science

• Dissolved oxygen 100%
• Recurrent neural networks 80%
• Rivers 76%
• Deep neural networks 75%
• Water quality 37%
• Deep learning 27%
• Artificial intelligence 27%
• Water 16%
• Mean square error 14%
• Support vector machines 12%
• Neural networks 9%
• Temperature 6%

Earth & Environmental Sciences

• dissolved oxygen 67%
• river 37%
• artificial intelligence 35%
• prediction 30%
• learning 25%
• water quality 20%
• support vector machine 15%
• artificial neural network 14%
• river water 14%
• streamflow 13%
• creek 13%
• water temperature 13%
• parameter 10%
• index 7%

Chemical Compounds

• Error 29%
• Electrical Conductivity 14%