Broad fractional-order echo state network with slime mould algorithm for multivariate time series prediction-Reference-Cited by-同舟云学术

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Broad fractional-order echo state network with slime mould algorithm for multivariate time series prediction

Published:2024-09 Issue: Volume:163 Page:111900
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yao Xianshuang^ORCID,Wang Huiyu,Huang Zhanjun

Publisher

Elsevier BV

Reference38 articles.

1. The ‘Echo State’ Approach to Analysing and Training Recurrent Neural Networks–with an Erratum Note;Jaeger,2001

2. Multi-reservoir echo state networks with hodrick-prescott filter for nonlinear time-series prediction;Li;Appl. Soft Comput.,2023

3. Robust kernel adaptive filtering for nonlinear time series prediction;Shi;Signal Process.,2023

4. Robust echo state network with Cauchy loss function and hybrid regularization for noisy time series prediction;Li;Appl. Soft Comput.,2023

5. Stably accelerating stiff quantitative systems pharmacology models: continuous-time echo state networks as implicit machine learning;Anantharaman;IFAC-PapersOnLine,2022

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