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The objective and accurate evaluation of land value is one of the biggest interest issues that farmers are concerned about in the transfer of rural land, and it is one of the influencing factors that influence the country’s rural rejuvenation strategy recommendation. Considering the nonlinear characteristics of various policy and social issues, such as the nature of land and market chaos in the process of rural land circulation, neural networks are introduced to study rural land evaluation based on the development of wireless networks, and the mechanism of influence of promotion of rural regeneration is explored. After analyzing the structure and flow of the neural network, the related equations of the BP neural network are updated, and the introduction of a genetic algorithm to establish a hybrid model is proposed to promote the effective evaluation of the complexity problem by the BP neural network algorithm and improve the prediction accuracy. After simulation experiments show that this study can provide a fair evaluation of the value of rural land transfer, and it has positive significance for promoting the development strategy of rural rejuvenation.

RETRACTED ARTICLE: The impact mechanism of rural land circulation on promoting rural revitalization based on wireless network development