Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure (PWP) variation is fundamental for slope stability. A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability. To explore the applicability and advantages of recurrent neural networks (RNNs) on PWP prediction, three v...

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Bibliographic Details
Main Authors: Xin Wei, Lulu Zhang, Hao-Qing Yang, Limin Zhang, Yang-Ping Yao
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Geoscience Frontiers
Subjects:
Pore-water pressure
Slope
Multi-layer perceptron
Recurrent neural networks
Long short-term memory
Gated recurrent unit
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987120301134

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http://www.sciencedirect.com/science/article/pii/S1674987120301134

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