Multi-step Ahead Forecasting of River Water Temperature Using Advance Artificial Intelligence Models: Voting Based Extreme Learning Machine Based on Empirical Mode Decomposition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2519-1_18
Reference33 articles.
1. Apaydin, H., & Sibtain, M. (2021). A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, gini index and sequence-to-sequence approaches. Journal of Hydrology, 126831. https://doi.org/10.1016/j.jhydrol.2021.126831.
2. Bashevkin, S. M., & Mahardja, B. (2021). Seasonally variable relationships between surface water temperature and inflow in the upper San Francisco Estuary. https://doi.org/10.32942/osf.io/rqbdk.
3. Cao, J., Lin, Z., Huang, G. B., & Liu, N. (2012). Voting based extreme learning machine. Information Sciences, 185(1), 66–77. https://doi.org/10.1016/j.ins.2011.09.015
4. Chen, X., Chen, H., Yang, Y., Wu, H., Zhang, W., Zhao, J., & Xiong, Y. (2021). Traffic flow prediction by an ensemble framework with data denoising and deep learning model. Physica a: Statistical Mechanics and Its Applications, 565, 125574. https://doi.org/10.1016/j.physa.2020.125574
5. Daniels, M. E., & Danner, E. M. (2020). The drivers of river temperatures below a large dam. Water Resources Research, 56(5). https://doi.org/10.1029/2019WR026751.
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