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A Study on the Application of BP Neural Network Based on Visual Recognition in Regional Economic Forecasting.

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  • المؤلفون: Meng L;Meng L
  • المصدر:
    Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Sep 26; Vol. 2022, pp. 3531011. Date of Electronic Publication: 2022 Sep 26 (Print Publication: 2022).
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN: 1687-5273 (Electronic) NLM ISO Abbreviation: Comput Intell Neurosci Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: New York, NY : Hindawi Pub. Corp.
    • الموضوع:
      Economic Development* ; Neural Networks, Computer*; China ; Forecasting ; Models, Economic ; Technology
    • نبذة مختصرة :
      The economic growth in the new normal is no longer limited to the total amount and scale of economic growth in the traditional and neoclassical periods, but has changed to "quality" and "development" under the dual requirements of historical changes and tasks of the times. The quality of regional economic growth is an important part of the quality of China's economic development and an important part of the quality of China's economic development in the new era. Therefore, this paper proposes a BP neural network based on visual recognition in a regional economic prediction model and conducts application experiments. This regional economic forecasting model is relying on data technology for economic panel data mining, then graphical processing of panel data, followed by the selection of visual recognition technology for economic panel map analysis, to derive its various component coefficients, and finally then using the BP neural network to fit the prediction, at the same time, through long-term and short-term prediction, to predict the future development quality of each region's change trends and fluctuations, to predict the institution's role, so as to avoid major transitions and deteriorating alarms, and to provide support for the macroregulation of regional economic development quality.
      Competing Interests: The authors declared that they have no conflicts of interest regarding this work.
      (Copyright © 2022 LingYan Meng.)
    • References:
      IEEE Trans Neural Netw. 1992;3(2):224-31. (PMID: 18276423)
    • الموضوع:
      Date Created: 20221006 Date Completed: 20221007 Latest Revision: 20221011
    • الموضوع:
      20221213
    • الرقم المعرف:
      PMC9529471
    • الرقم المعرف:
      10.1155/2022/3531011
    • الرقم المعرف:
      36199956