Retraction Notice: Investigating Support Vector Machines for Time Series Predictions in Wireless Networks
Haripriya, Ajay Agrawal, Pavan Kumar Singh · 2024
Time series prediction has been utilized in expanding applications, including Wi-Fi networks. Recent studies have proposed using assist vector machines (SVMs) for time series prediction, a supervised getting-to-know method. In this paper, we gift an investigation of the software of SVMs to various sorts of time collection together with wi-fi community traffic data. We experiment with different prediction techniques, kernel features, and model architectures and assess the overall performance of every method. We compare and evaluate the accuracy of SVM-primarily based predictions with predictions from two other supervised getting-to-know methods: synthetic neural networks (ANN) and decision trees. Outcomes display that SVM predictions outperform different processes in phrases of accuracy. These outcomes suggest that SVMs gift a feasible solution for time series prediction responsibilities associated with Wi-Fi networks.