Construction and design of automatic rechecking model of power system project based on deep learning and SVM
In view of the problem of resource and time waste caused by the duplication and duplication of documents in the power system project,it is proposed to optimize the support vector machine based on the deep learning algorithm,and then build the auto-matic re-check model of the power system project.The study verified the validity of the constructed optimized SVM algorithm,and found that its accuracy was 98.1％,the F1 value was 0.87,and the recall rate was 81.3％,which was better than the other compari-son algorithms.At the same time,the study also conducted the performance comparison experiment of the automatic rechecking model of the power system project,and found that the rechecking accuracy of the model is 0.87,the F1 value is 0.84,and the accuracy is 81.0％,which is higher than other comparison models.And the running time of this model is 2.7 s,which is faster than the other models.In conclusion,the proposed automatic weight-checking model of power system projects based on deep learning and support vector machine can provide auxiliary support for the efficient management of power system projects.
power system projectautomatic checking modeldeep learningsupport vector machinedocument management
万方数据
维普
