Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

Estimating the quantity of seepage through the foundation and body of a dam using proper health and safety monitoring is critical to the effective management of disaster risk in a reservoir downstream of the dam. In this study, a deep learning model was constructed to predict the extent of seepage t...

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Detaylı Bibliyografya
Asıl Yazarlar:	Muhammad Ishfaque, Qianwei Dai, Nuhman ul Haq, Khanzaib Jadoon, Syed Muzyan Shahzad, Hammad Tariq Janjuhah
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-04-01
Seri Bilgileri:	Energies
Konular:	dam seepage deep learning recurrent neural network LSTM prediction time series data
Online Erişim:	https://www.mdpi.com/1996-1073/15/9/3123
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Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

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