4 Art�culos

A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction

Acceso

en l�nea

Xiaoxu Niu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen and Huiming Tang

The proposed decomposition-ensemble learning model can be efficiently used to enhance the prediction accuracy of landslide displacement prediction and can also be extended to other difficult forecasting tasks in the geosciences with extremely complex non... ver m�s

Revista: Applied Sciences Formato: Electr�nico

Tabla de contenido: Vol: 11 Num: 0 Par: 10 A�o: 2021

A Novel Hybrid Decomposition?Ensemble Prediction Model for Dam Deformation

Acceso

en l�nea

Enhua Cao, Tengfei Bao, Chongshi Gu, Hui Li, Yongtao Liu and Shaopei Hu

Accurate and reliable prediction of dam deformation (DD) is of great significance to the safe and stable operation of dams. In order to deal with the fluctuation characteristics in DD for more accurate prediction results, a new hybrid model based on a de... ver m�s

Revista: Applied Sciences Formato: Electr�nico

Tabla de contenido: Vol: 10 Num: 0 Par: 16 A�o: 2020

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