Problems and Solutions of Art Professional Service Rural Revitalization Strategy Based on Random Forest Algorithm

Author:

Liang Jianhui1ORCID

Affiliation:

1. Guangzhou Academy of Fine Arts, Guangzhou 510006, China

Abstract

The rural revitalization strategy proposal is not a passive water, but rather one with its own internal historical logic. The rural revitalization strategy has been implemented in a consistent manner with China’s rural construction practice over the last 100 years. Since modern times, the Chinese agricultural civilization has been severely harmed by the collision and friction with western industrial and commercial civilizations, which has directly aroused the strong reflection of people with lofty ideals from all walks of life in Chinese society and led them down the path of rural construction aimed at “rejuvenating” the countryside. Accelerating the development of rural culture is beneficial to the overall improvement of social culture and the happiness of the Chinese people. As a result, the development and construction of rural culture will have a significant impact on China. The random forest algorithm simulates the data learning process based on data mining, creates a model, and returns a judgment result. The strategy of art professional service is examined in this study. The random forest algorithm was used to revitalize rural areas. The random forest algorithm’s learning process is very quick, and it is still very effective in dealing with art professional services. The current random forest algorithm weighs the importance of all variables to determine the significance of switching from independent to dependent variables.

Funder

Guangdong Special Project in Key Areas for Colleges and Universities

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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