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...

Cijeli opis

Bibliografski detalji
Glavni autori: Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, P. N., Yuen, Kum Fai
Daljnji autori: School of Electrical and Electronic Engineering
Format: Journal Article
Jezik:English
Izdano: 2024
Teme:
Engineering
Forecasting
Random vector functional link network
Online pristup:https://hdl.handle.net/10356/174180

Internet

https://hdl.handle.net/10356/174180

Slični predmeti