Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas
Abstract Gross Domestic Product (GDP) is significant for measuring the strength of national and global economies in urban profiling areas. GDP is significant because it provides information on the size and performance of an economy. The real GDP growth rate is frequently used to indicate the economy...
Main Authors: | Mahmoud Y. Shams, Zahraa Tarek, El-Sayed M. El-kenawy, Marwa M. Eid, Ahmed M. Elshewey |
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Format: | Article |
Language: | English |
Published: |
Springer
2024-01-01
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Series: | Computational Urban Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s43762-024-00116-2 |
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