Fracta
Current Practices
Fracta's Machine Learning
Data Variables
Few: Age, breaks
Many Types: - Breaks, Attributes, Environment, City/Parcels, Flow/Pressure
Environmental Considerations
Limited
Extensive
Network Effects
No, each city uses its own data only
Yes, utilizing relevant data from Global Utility Network
Model Improvement
Static Manual re-do
- Self-Learning and will keep improving- Automatic improvement and updates (saves labor)
Weight-Based Models
Subjective weights
Results reflect objective patterns in the data
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