| 摘要 |
This paper puts forward the index system for the evaluation of standard implementation through the analysis of features and influencing factors of standard implementation; builds a BP neural network model for the evaluation of standard implementation by using the theoretical method of BP neural network; provides training for the established BP neural network with standard implementation samples collected through questionnaire surveys; and uses test samples to carry out simulation test for the neural network which have been trained. Results show that the standard implementation evaluation model based on BP neural network can effectively overcome the problem of establishing complicated mathematical models and mathematical analytical expressions during traditional evaluation and avoid subjectivity and arbitrariness, thus increasing accuracy and objectivity of evaluation results. |