METHOD FOR PROCESSING DATA BASED ON NEURAL NETWORKS TRAINED BY DIFFERENT METHODS AND DEVICE APPLYING METHOD

摘要

A method for processing data based on a neural network trained by different methods includes: dividing sample data into a training set and a test set; training a predetermined neural network to obtain a first detection model based on the training set; testing the first detection model based on the test set to count a first precision rate; cleaning the training set and the test set according to selected cleaning method; adjusting the first detection model by a predetermined rule and training adjusted first detection model based on cleaned training set to obtain a second detection model; testing the second detection model based on cleaned test set to count a second precision rate; selecting the first detection model or the second detection model as a final detection model based on a comparison between the first precision rate and the second precision rate.