Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

This paper proposes a novel recurrent multi-step-ahead prediction model called recurrent kernel extreme reservoir machine (RKERM) with quantum particle swarm optimization (QPSO). This model combines the strengths of recurrent kernel extreme learning machine (RKELM) and modified reservoir computing t...

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Bibliographic Details
Main Authors: Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Extreme learning machine
kernel method
recurrent neural network
reservoir computing
time series prediction
Online Access:https://ieeexplore.ieee.org/document/8331837/

Internet

https://ieeexplore.ieee.org/document/8331837/

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