Treffer: Construction of a Computer Network Performance Prediction Optimization Model Based on Machine Learning Algorithms.

Computer networks have been widely used in critical infrastructure for businesses, schools, governments, and individuals. The development of computer networks is an irreversible historical trend. This article studies computer network performance prediction optimization models through machine learning, which can improve the intelligence and efficiency of network management. Existing research has made some progress in machine learning based network security and performance optimization. However, good results have not been achieved in real-time performance prediction and optimization. This article uses Long Short Term Memory Network (LSTM) to establish an effective predictive optimization model. Firstly, the data is processed, such as missing values, duplicates, and device time redundancy. Then, features are selected to select the corresponding input features of the model. Finally, the model is optimized to obtain the optimized model. The performance of the LSTM model is compared with the random forest (RF) and support vector machine (SVM) models. Model performance indicators include mean absolute error (MAE), coefficient of determination, F1 score, and model computation time. The experimental results show that the LSTM model has higher accuracy than RF and SVM models in all evaluation metrics. Meanwhile, the LSTM model has significant advantages in computational time compared to the other two models. The LSTM based computer network performance prediction optimization model can be optimized in terms of prediction accuracy, generalization ability, and computational efficiency. It has the ability to effectively process time series data. The LSTM model used for network performance prediction has a minimum average absolute error of 8% and a maximum coefficient of determination of 0.95. It achieves higher F1 scores and faster calculation speed. The results reflect the potential and practicality of the LSTM model in optimizing computer network performance prediction. [ABSTRACT FROM AUTHOR]