S1 Data - Forecasting China’s shipping indices based on modal decomposition and optimized deep learning integrated model

S1 Data - Forecasting China’s shipping indices based on modal decomposition and optimized deep learning integrated model

<p><a href="https://pan.baidu.com/s/15QEj7tRDk5vlLM1SzPUNnA?pwd=mtks" target="_blank">https://pan.baidu.com/s/15QEj7tRDk5vlLM1SzPUNnA?pwd=mtks</a>.</p> <p>(XLSX)</p>

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Bibliografski detalji
Glavni autor:	Yuye Zou (22806476) (author)
Daljnji autori:	Yingyu Liu (4609123) (author), Guangnian Xiao (15190075) (author)
Izdano:	2025
Teme:	Medicine Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified time series forecasting reliable forecasting tool providing industry stakeholders original time series directional long short china &# 8217 shipping market trends shipping indices based variational mode decomposition shipping indices xlink "> thereby improving term memory study proposes strategic planning sophisticated three significantly enhances scale characteristics robust performance results indicate predictive accuracy prediction accuracy phase methodology optimization using operational management network parameters model stability model employs modal decomposition maritime sector maritime economics making support including nonlinearity hybrid approaches enhanced decision effectively capturing complex patterns
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