Construction and Simulation of Risk Early Warning Model for Receiving Products Based on Improved GRU-DNN
In view of the low accuracy of the existing receiving risk early warning methods,a receiving risk analysis method based on the improved GRU-DNN model is proposed.By using fuzzy comprehensive analysis(FSA)to screen out the main evaluation indicators of receiving risk,and input the indicators into GRU-DNN network improved by adversarial training and prediction similarity for classification and identification,the receiving risk analysis is realized.The simulation results show that the improved GRU-DNN risk early warning method can realize the receipt risk early warning,and performs well in accuracy,precision,recall and F,indicators,with an efficiency of more than 86％.Compared with the traditional risk early warning methods based on DNN,CNN and MLR models,it has obvious advantages and good prediction performance and robustness.
万方数据
维普
