Work

Time series forecasting of petroleum production using deep LSTM recurrent networks

Year: 2018

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2018.09.082

Authors: Alaa Sagheer, Mostafa Kotb

Institutions: King Faisal University, Aswan University

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: Innovative Research Group Project of the National Natural Science Foundation of China, King Faisal University

Award: G5092578595

OpenAlex ID: W2894821558

FWCI: 48.2

Cites: 39

Cited by: 1,005

Related to: 10