Forecasting tourist travel demand of single tourist attraction using Wasserstein generative adversarial network with gradient penalty

International Conference on Big Data, Computational Intelligence, and Applications (BDCIA) 2026

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Authors: Lixuan Zhao, Dejin Li, Shuo Wen, Kangyuan He, Xuping Zhou, Qifeng Li
DOI: 10.1117/12.3101338
Cited by: 0

Fields of Study & Subjects

Forecasting Techniques and Applications Diverse Aspects of Tourism Research Traffic Prediction and Management Techniques

Publication details

Journal / source
International Conference on Big Data, Computational Intelligence, and Applications (BDCIA)
Pages
15–15
Publication date
24 February 2026
Language
EN