Pages that link to "Item:Q258598"
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The following pages link to Application of support vector machine model in wind power prediction based on particle swarm optimization (Q258598):
Displaying 6 items.
- Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization (Q1630717) (← links)
- A prediction of precipitation data based on support vector machine and particle swarm optimization (PSO-SVM) algorithms (Q1662729) (← links)
- Short-term wind speed forecasting using support vector regression optimized by cuckoo optimization algorithm (Q1666155) (← links)
- A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm (Q1985246) (← links)
- Multi-objective algorithm for the design of prediction intervals for wind power forecasting model (Q2307201) (← links)
- Support vector regression based on grid-search method for short-term wind power forecasting (Q2336761) (← links)
