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Regional Economy Using Hybrid Sequence‐to‐Sequence‐Based Deep Learning Approach

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  • Bo Peng

Abstract

In recent times, the role of the regional economy changed significantly under certain conditions of globalization and structural adjustment. The process of changing must be crucial to analyse regional economy and develop the planning of regional economy. Developing economies depend often on industries and country policies. Modern studies tend to participate in important factors in this field such as energy intensity, labour skills, local industries, resources, and local expertise. Furthermore, in this study, to start developing the regional economy and make the revolution in this field to connect it with new technology, we train the deep learning algorithm of gathering factors to manage them perfectly and make a good prediction for the future economy. Hybrid sequence to sequence (seq2seq) algorithms of deep learning fed with previous information from past years and run the system to compare the predicted result data with current information to evaluate the method to be certified for the coming years.

Suggested Citation

  • Bo Peng, 2022. "Regional Economy Using Hybrid Sequence‐to‐Sequence‐Based Deep Learning Approach," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:9235012
    DOI: 10.1155/2022/9235012
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    References listed on IDEAS

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