Forecasting the moisture dynamics of a landfill capping system comprising different geosynthetics: A NARX neural network approach

Keyphrases

• Neural Network Method 100%
• Landfill Capping Systems 100%
• Volumetric Water Content 100%
• Geosynthetics 100%
• NARX Neural Network 100%
• Moisture Dynamics 100%
• Nonwoven 66%
• Needle Punching 66%
• Geosynthetic Layer 66%
• Geotextile 66%
• Forecasting Approach 33%
• Model Validation 33%
• Model Calibration 33%
• Statistical Model 33%
• State-space Model 33%
• Exogenous Input 33%
• Mean Error 33%
• Extreme Weather Events 33%
• Service Life 33%
• System Integrity 33%
• State Space 33%
• Capping Layer 33%
• Soil Layer 33%
• Content Value 33%
• Hydraulic Performance 33%
• Nonlinear Autoregressive Network with Exogenous Inputs 33%
• Weather Events 33%
• Data-driven Forecasting 33%
• Precipitation Data 33%
• Development Validation 33%
• Engineered Landfill 33%
• Geocomposite 33%
• Content Data 33%
• Prediction Period 33%
• Landfill Site 33%
• Prediction Window 33%

Engineering

• Neural Network Approach 100%
• Punched Geotextiles 100%
• Moisture Dynamic 100%
• Hydraulics 50%
• Collected Data 50%
• Service Life 50%
• Field Condition 50%
• Statistical Model 50%
• Soil Layer 50%
• Capping Layer 50%
• Geocomposite 50%
• Content Data 50%
• Band Drain 50%

Earth and Planetary Sciences

• Moisture Content 100%
• Landfill Capping 100%
• Geosynthetics 100%
• Capping 66%
• Geotextile 66%
• United Kingdom 33%
• Standard Deviation 33%
• Service Life 33%
• Soil Layer 33%
• Landfill Site 33%