A comparative study of different neural networks in predicting gross domestic product
Gross domestic product (GDP) can well reflect the development of the economy, and predicting GDP can help better grasp the future economic trends. In this article, three different neural network models, the genetic algorithm – back-propagation neural network model, the particle swarm optimization (P...
Main Author: | Lai Han |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-05-01
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Series: | Journal of Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1515/jisys-2022-0042 |
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