Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars
| | Speaker: | 孙少龙研究员，西安交通大学
| | Inviter: | | Title:
| Tourism demand forecasting: An ensemble deep learning approach | Time & Venue:
| 2021.12.09 11:30-12:30 内部讨论班 | Abstract:
| The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting, but presents significant challenges for forecasting, including curse of dimensionality and high model complexity. A novel bagging-based multivariate ensemble deep learning approach integrating stacked autoencoders and kernel-based extreme learning machines (B-SAKE) is proposed to address these challenges in this study.
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