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Research on Interpretable Tourism Demand Forecasting Based on VSN–xLSTM Model

To address the limitations of traditional tourism demand forecasting models in leveraging multi-source data and their lack of interpretability, this study proposes an integrated multi-data-driven interpretable forecasting framework incorporating historical visitor volumes, social media activities, h...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Hanpo Hou, Haiying Wang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2026-01-01
Saila:Systems
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2079-8954/14/2/146
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