A Model Research for Evaluation of Community Workers’ Comprehensive Quality Based on BP Neural Network

This paper takes the evaluation of comprehensive quality of community workers as the research purpose, the research methods are gathering data and establishing mathematical model and so on. First of all, it analyses the definition and current situation of community workers; second, it explains the necessity and importance of the comprehensive quality evaluation of the community workers; finally, we establish the comprehensive quality evaluation model of community workers based on BP neural network which takes an evaluating index system including five Level-1 index and thirteen Level-2 index as the base to get a comprehensive quality evaluation model based on BP neural network. We have proved that this model is functional by data results, and it shows that the model’s calculation results are consistent with experts’. This model owns advantages like self-learning ability and high intelligent. Model research can provide a theoretical basis for the evaluation of community workers when it comes to evaluation and selection.