Orthogonal Least Squares Based Incremental Echo State Networks for Nonlinear Time Series Data Analysis

Orthogonal Least Squares Based Incremental Echo State Networks for Nonlinear Time Series Data Analysis

This paper develops an incremental randomized learning method for an extended Echo State Network (φ-ESN), which has a reservoir with random static projection, to better cope with non-linear time series data modelling problems. Although the typical ESN can effectively improve the predictio...

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Bibliographic Details
Main Authors: Qian Zhang, Xiaojie Zhou, Jian Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Time series prediction
echo state network
incremental randomized learning
orthogonal least squares
system identification
Online Access:https://ieeexplore.ieee.org/document/8936436/

Internet

https://ieeexplore.ieee.org/document/8936436/

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