Intelligent Evaluation Model of Precision Mobile Network Software Evaluation Accuracy

Abstract

The existing intelligent evaluation models of the evaluation accuracy of mobile network software all have some disadvantages, such as poor evaluation accuracy and large evaluation error. Therefore, the intelligent evaluation model of fine mobile network software evaluation accuracy is put forward to study on the intelligent evaluation model of the evaluation accuracy of mobile network software. The data acquisition card is used to collect the evaluation data of fine mobile network software, and it is pre-processed by data checking and data cleaning. Based on the pre-processed data, Bootstrap sampling method is used to obtain the evaluation data. Based on the accurate evaluation data of fine mobile network software, this paper uses integrated learning algorithm to intelligently evaluate the accuracy of fine mobile network software evaluation. The intelligent evaluation of the accuracy of fine mobile network software evaluation is realized. The experimental results show that compared with the existing intelligent evaluation model for the accuracy of fine mobile network software, the intelligent evaluation model for the accuracy of fine mobile network software improves the evaluation accuracy and reduces the evaluation error. It fully shows that the intelligent evaluation model of fine mobile network software evaluation accuracy has better evaluation performance