Online dynamic ensemble deep random vector functional link neural network for forecasting

Online dynamic ensemble deep random vector functional link neural network for forecasting

This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple randomized layers to enhance the single-layer RVFL's representation ability. Each hidden layer's representation is util...

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Bibliografiska uppgifter
Huvudupphovsmän: Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, P. N., Yuen, Kum Fai
Övriga upphovsmän: School of Electrical and Electronic Engineering
Materialtyp: Journal Article
Språk:English
Publicerad: 2024
Ämnen:
Engineering
Forecasting
Random vector functional link network
Länkar:https://hdl.handle.net/10356/174180

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