Pages that link to "Item:Q313669"
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The following pages link to Hybrid regression model for near real-time urban water demand forecasting (Q313669):
Displaying 11 items.
- Time series represented by means of fuzzy piecewise lineal segments (Q507869) (← links)
- A hybrid regression model for water quality prediction (Q2009204) (← links)
- A novel distribution-free hybrid regression model for manufacturing process efficiency improvement (Q2315872) (← links)
- Space-time forecasting using soft geostatistics: a case study in forecasting municipal water demand for Phoenix, Arizona (Q2319544) (← links)
- Bitcoin price prediction using machine learning: an approach to sample dimension engineering (Q2332692) (← links)
- Fault detection in water supply systems using hybrid (theory and data-driven) modelling (Q2472619) (← links)
- Municipal Water Demand Forecasting: Tools for Intervention Time Series (Q3114567) (← links)
- Sequential method of change detection and adaptive prediction of municipal water demand (Q3752272) (← links)
- Fuzzy prediction model for water demand prediction using an interpolative fuzzy reasoning method (Q4809249) (← links)
- Editorial: Mathematical modeling and computational methods (Q5890876) (← links)
- Radial basis neural tree model for improving waste recovery process in a paper industry (Q6576816) (← links)
