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Regional Economic Growth Forecast Based on Artificial Intelligence and Computer Vision Model

By
Yong Yin ,
Yong Yin

School of Financial Management, Gingko College of Hospitality Management, Chengdu 611743, Sichuan, China

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Dongyu Zhang ,
Dongyu Zhang

Chengdu Pidu District Anjing School, Chengdu 611731, Sichuan, China

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Yueran Xu ,
Yueran Xu

School of Financial Management, Gingko College of Hospitality Management, Chengdu 611743, Sichuan, China

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Xiaomeng Zhang ,
Xiaomeng Zhang

School of Financial Management, Gingko College of Hospitality Management, Chengdu 611743, Sichuan, China

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Yonghong Wang ,
Yonghong Wang

School of Financial Management, Gingko College of Hospitality Management, Chengdu 611743, Sichuan, China

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Abstract

Introduction: Regional economic growth can be predicted to make more effective countermeasures and promote the development of local regions. However, the existing regional economic growth forecasting models have the problems that the forecasting speed is too slow and the forecasting results are inaccurate, which greatly hinders people's understanding of economic growth. Methods: Based on artificial intelligence and computer vision model, this paper designed a regional economic growth forecast model and predicted the economic growth of different regions. Through testing different areas, it was found that: The prediction risk index of the economic growth prediction model based on artificial intelligence and computer vision model was lower. Results: Among them, the accuracy rate was increased by 6.9%, and the prediction speed was improved, as well as the user satisfaction rate was increased by 9.16%. Conclusion: Therefore, artificial intelligence and computer vision technology could optimize the regional economic growth forecast model.

How to Cite

1.
Yin Y, Zhang D, Xu Y, Zhang X, Wang Y. Regional Economic Growth Forecast Based on Artificial Intelligence and Computer Vision Model. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 May 1 [cited 2024 May 21];3:684. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/684

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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