Is it possible developing reliable prediction models considering only the pipe’s age for decision-making in sewer asset management?

INIS

• decision making 100%
• management 100%
• prediction 100%
• assets 100%
• pipes 100%
• levels 50%
• machine learning 50%
• randomness 33%
• assessments 33%
• forests 33%
• design 16%
• comparative evaluations 16%
• values 16%
• vectors 16%
• performance 16%
• capacity 16%
• curves 16%
• inspection 16%
• budgets 16%

Engineering

• Deterioration Model 100%
• Asset Management 100%
• Critical Condition 50%
• Random Forest 50%
• Learning System 50%
• Learning Approach 25%
• Performance Curve 25%
• Sewer System 25%
• Predictor Variable 25%
• Machine Learning Method 25%
• Support Vector Machine 25%

Keyphrases

• Reliability Prediction 100%
• Assessment Standards 40%
• Ordinal Logistic Regression 20%
• Annual Budget 20%
• Statistical Learning Methods 20%
• Inspection Interval 20%
• Budget Plan 20%