Improved Echo State Network (ESN) for the Prediction of Network Traffic

YE Dezhong; Haibing Lv; Yong Jiang; Zhongzheng Wu; Qiuxia Bao; Yun Gao; Ruochen Huang

doi:10.4108/eai.21-6-2018.2276461

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Improved Echo State Network (ESN) for the Prediction of Network Traffic

YE Dezhong Haibing Lv Yong Jiang Zhongzheng Wu Qiuxia Bao Yun Gao Ruochen Huang

Year: 2018

DOI: 10.4108/eai.21-6-2018.2276461

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Abstract

With the development of computer and network technologies, the network traffic has come to an explosive growth. Considering the non-linearity of network data, we choose echo state network (ESN) to predict the data. ESN is a novel kind of recurrent neural networks, where a reservoir is generated rand

Keywords:

Echo state network Echo (communications protocol) Computer science Explosive material Recurrent neural network State (computer science) Data mining Time series Traffic generation model Artificial intelligence Artificial neural network Machine learning Computer network Algorithm

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Neural Networks and Reservoir Computing

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advancements in Semiconductor Devices and Circuit Design

Physical Sciences → Engineering → Electrical and Electronic Engineering

Improved Echo State Network (ESN) for the Prediction of Network Traffic

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