Reservoir Prediction Model via the Fusion of Optimized Long Short-Term Memory Network (LSTM) and Bidirectional Random Vector Functional Link (RVFL)

An accurate and stable reservoir prediction model is essential for oil location and production. We propose an predictive hybrid model ILSTM-BRVFL based on an improved long short-term memory network (IAOS-LSTM) and a bidirectional random vector functional link (Bidirectional-RVFL) for this problem. F...

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Bibliographic Details
Main Authors: Guodong Li, Yongke Pan, Pu Lan
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/20/3343