Comparison of ANN model’s prediction performance according to the level of data uncertainty in water distribution network

Keyphrases

• Water Distribution Systems 100%
• Model Prediction 100%
• Measurement Error 100%
• Artificial Neural Network Model 100%
• Performance Prediction 100%
• Uncertain Data 100%
• Abnormal Events 33%
• Error Size 33%
• Detection Method 16%
• Prediction Accuracy 16%
• Artificial Neural Network 16%
• Model Prediction Accuracy 16%
• Sampling Methods 16%
• Machine Learning-based Detection 16%
• Model Performance 16%
• Detection Model 16%
• Gaussian Distribution 16%
• Result Prediction 16%
• Pressure Data 16%
• Pressure Node 16%
• Induced Pressure 16%
• Cumulative Density Function 16%
• Model-based Method 16%
• Field Equipment 16%
• Hydraulic Simulation Model 16%
• Nodal Pressure 16%
• Role of Water 16%
• Pipe Burst 16%
• Pressure Error 16%
• Inverse Sampling 16%
• Input Nodes 16%
• Output Pressure 16%

Engineering

• Water Distribution 100%
• Electric Power Distribution 100%
• Model Prediction 100%
• Measurement Error 100%
• Artificial Neural Network Model 100%
• Prediction Performance 100%
• Input Data 33%
• Output Data 33%
• Hydraulics 16%
• Limitations 16%
• Nodes 16%
• Gaussians 16%
• Inverse Function 16%
• Based Detection Method 16%
• Pressure Data 16%
• Input Node 16%
• Pressure Error 16%
• Output Pressure 16%
• Learning System 16%
• Artificial Neural Network 16%
• Simulation Mode 16%

Chemical Engineering

• Water Distribution 100%
• Neural Network 100%
• Learning System 20%