Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

Journal of Hydrology(2017)

引用 31|浏览46
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摘要
•A variable complexity online sequential extreme learning machine (VC-OSELM) is developed.•VC-OSELM automatically adds or removes hidden nodes (HN) as online learning proceeds.•VC-OSELM outperformed OSELM when the number of initial HN was smaller or larger than optimal.
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关键词
Streamflow,Forecast,Online learning,Randomized neural networks,Extreme learning machine (ELM),Online sequential ELM (OSELM)
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