Pages that link to "Item:Q2127528"
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The following pages link to The application of an optimized fractional order accumulated grey model with variable parameters in the total energy consumption of Jiangsu province and the consumption level of Chinese residents (Q2127528):
Displaying 7 items.
- Forecasting crude oil consumption in China using a grey prediction model with an optimal fractional-order accumulating operator (Q1634948) (← links)
- Fractal derivative fractional grey Riccati model and its application (Q2131708) (← links)
- A novel Hausdorff fractional NGMC\((p,\mathrm{n})\) grey prediction model with grey wolf optimizer and its applications in forecasting energy production and conversion of China (Q2247278) (← links)
- Variable order fractional grey model and its application (Q2247306) (← links)
- An innovative approach of determining the sample data size for machine learning models: a case study on health and safety management for infrastructure workers (Q2700280) (← links)
- A gray model for increasing sequences with nonhomogeneous index trends based on fractional‐order accumulation (Q4581033) (← links)
- APPLICATION OF OPTIMIZED FRACTIONAL GREY MODEL-BASED VARIABLE BACKGROUND VALUE TO PREDICT ELECTRICITY CONSUMPTION (Q5024765) (← links)
