Multi-Attn BLS: Multi-head attention mechanism with broad learning system for chaotic time series prediction-Reference-Cited by-同舟云学术

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Multi-Attn BLS: Multi-head attention mechanism with broad learning system for chaotic time series prediction

Published:2023-01 Issue: Volume:132 Page:109831
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Su Liyun^ORCID,Xiong Lang,Yang Jialing

Publisher

Elsevier BV

Subject

Software

Reference24 articles.

1. Estimating weak pulse signal in chaotic background with Jordan neural network;Su;Complexity,2020

2. Mutual information-based inputs selection for electric load time series forecasting;Božić;Entropy,2013

3. Chaotic dynamics analysis based on financial time series;Gu;Complexity,2021

4. Identifying predictive multi-dimensional time series motifs;McGovern;Data Min. Knowl. Discov.,2011

5. Time series AR modeling with missing observations based on the polynomial transformation;Ding;Math. Comput. Modelling,2010

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