Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting

Reliable forecasting of short-term traffic flow is an essential component of modern intelligent transport systems. However, existing methods fail to deal with the non-linear nature of short-term traffic flow, often making the forecasting unreliable. Herein, we propose a reliable short-term traffic f...

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Detaylı Bibliyografya
Asıl Yazarlar:	Huayuan Chen, Zhizhe Lin, Yamin Yao, Hai Xie, Youyi Song, Teng Zhou
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2024-10-01
Seri Bilgileri:	Mathematics
Konular:	hybrid extreme learning non-linear representation artificial bee colony short-term traffic flow forecasting
Online Erişim:	https://www.mdpi.com/2227-7390/12/20/3303
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting

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