Network Traffic Prediction of Dropout Echo State Network

doi:10.13190/j.jbupt.2021-021

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (5): 10-13,20.doi: 10.13190/j.jbupt.2021-021

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Network Traffic Prediction of Dropout Echo State Network

MU Xiao-hui, LI Li-xiang

School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2021-03-11 Online:2021-10-28 Published:2021-09-06

Abstract

Abstract: An echo state network (ESN) based on Dropout method is proposed. The ESN based on Dropout method (Dropout ESN)is applied to the actual network traffic prediction task, in which the neurons in the reservoir are set to stop working with different probability. Dropout ESN is compared with the classical ESN to analyse the influence of the two networks on the prediction performance. In addition the normalized root mean square error of Dropout ESN and other models are compared and analyzed. Simulation results show that Dropout ESN has better prediction performance on network traffic than other ESN models.

Key words: machine learning, echo state network, network traffic prediction, Dropout method

CLC Number:

TP183

MU Xiao-hui, LI Li-xiang. Network Traffic Prediction of Dropout Echo State Network[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 10-13,20.

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Network Traffic Prediction of Dropout Echo State Network

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