A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-022-1553-8.pdf
Reference43 articles.
1. Adnan RM, Liang ZM, Trajkovic S, Kermani MZ, Li BQ, Kisi O (2019) Daily streamflow prediction using optimally pruned extreme learning machine. Journal of Hydrology 577:123981, DOI: https://doi.org/10.1016/j.jhydrol.2019.123981
2. Almaghrabi F, Xu DL, Yang JB (2021) An evidential reasoning rule based feature selection for improving trauma outcome prediction. Applied Soft Computing 103:107112, DOI: https://doi.org/10.1016/j.asoc.2021.107112
3. Bouktif S, Fiaz A, Ouni A, Serhani M (2018) Optimal deep learning LSTM model for electric load forecasting using feature selection and genetic algorithm: Comparison with machine learning approaches. Energies 11:1636, DOI: https://doi.org/10.3390/en11071636
4. Bui KTT, Bui DT, Zou JG, Doan CV, Revhaug I (2018) A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam. Neural Computing & Applications 29:1495–1506, DOI: https://doi.org/10.1007/s00521-016-2666-0
5. Cao EH, Bao TF, Gu CS, Li H, Liu YT, Hu SP (2020) A novel hybrid decomposition — Ensemble prediction model for dam deformation. Applied Sciences-Basel 10(16):5700, DOI: https://doi.org/10.3390/app10165700
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