BP Neural Network-Based Method for Assessing the Participation of Social Organizations in Rural Revitalization

The current traditional algorithm of social organization participation assessment mainly analyzes a single characteristic of social organizations to achieve participation assessment. Due to the lack of integration analysis of the characteristics of social organization activities, the assessment effect is poor. In this regard, a BP neural network-based evaluation method for social organization participation in rural revitalization is proposed. The entropy weight method is used to calculate the weight values of assessment indexes, and hidden variables are introduced to represent the participation assessment results based on a single feature, and domain expert knowledge is introduced into the participation assessment process of social organization interaction to parameterize the assessment model. In the experiments, the proposed method is validated for the evaluation effect. The analysis of the experimental results shows that the engagement assessment model of social organizations constructed by the proposed method has a good fit between the assessed and actual values and has a more desirable assessment effect.