Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network-Reference-Cited by-同舟云学术

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Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network

Published:2024-07 Issue: Volume:117 Page:109218
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Song Xuefei,Chen Zhong Shuo^ORCID

Publisher

Elsevier BV

Reference48 articles.

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3. Adaptive data decomposition based quantile-long-short-term memory probabilistic forecasting framework for power demand side management of energy system;Yang;Comput Electr Eng,2023

4. Nine novel ensemble models for solar radiation forecasting in Indian cities based on VMD and DWT integration with the machine and deep learning algorithms;Sivakumar;Comput Electr Eng,2023

5. Nonlinear prediction of chaotic signals using a normalised radial basis function network;Cowper;Signal Process,2002

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1. Benchmarking feed-forward randomized neural networks for vessel trajectory prediction;Computers and Electrical Engineering;2024-10

2. Enhancing financial time series forecasting in the shipping market: A hybrid approach with Light Gradient Boosting Machine;Engineering Applications of Artificial Intelligence;2024-10

3. Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review;Information;2024-08-21

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