Comprehensive drought risk assessment and mapping in Taiwan: An ANP-ANN ensemble approach

Keyphrases

• Taiwan 100%
• Analytic Network Process 100%
• Drought Risk Assessment 100%
• Ensemble Approach 100%
• Artificial Neural Network Ensemble 100%
• Drought Risk 75%
• Artificial Neural Network 50%
• Artificial Neural Network Model 50%
• Damage Area 25%
• F1 Score 25%
• Well-defined 25%
• Innovative Approach 25%
• Drought 25%
• Statistical Data 25%
• Multiple References 25%
• Model Effectiveness 25%
• Hazard Vulnerability 25%
• Hazard Exposure 25%
• Socioeconomic Conditions 25%
• Value Products 25%
• Goodness-of-fit Measure 25%
• Ensemble Learning Method 25%
• Validation Process 25%
• BOAST 25%
• Ecological Scenarios 25%
• Kappa Index 25%
• Map Reliability 25%
• Product Loss 25%
• Logical Networks 25%
• Rigorous Validation 25%
• High-accuracy Ranging 25%
• Process Neural Network 25%

Earth and Planetary Sciences

• Taiwan 100%
• Artificial Neural Network 100%
• Fieldwork 16%
• Statistical Data 16%
• Goodness of Fit 16%

Biochemistry, Genetics and Molecular Biology

• Artificial Neural Network 100%
• Goodness of Fit Test 16%