Incorporating CNN-LSTM and SVM with wavelet transform methods for tourist passenger flow prediction
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09592-w.pdf
Reference25 articles.
1. Abbas R, Gu N (2023) Improving deep learning-based image super-resolution with residual learning and perceptual loss using SRGAN model. Soft Comput pp 1–17
2. Chen Q, Song Y, Zhao J (2021) Short-term traffic flow prediction based on improved wavelet neural network. Neural Comput Appl 33:8181–8190
3. Chuwang DD, Chen W, Zhong M (2023) Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series. Appl Soft Comput 147:110740
4. Filom S, Amiri AM, Razavi S (2022) Applications of machine learning methods in port operations–a systematic literature review. Transp Res Part E: Log Transp Rev 161:102722
5. Guo J, Wang W, Tang Y, Zhang Y, Zhuge H (2022) A CNN-Bi_LSTM parallel network approach for train travel time prediction. Knowl-Based Syst 256:109796
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1. A hybrid neural network for urban rail transit short-term flow prediction;The Journal of Supercomputing;2024-07-03
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