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An improved fruit fly algorithm-unscented Kalman filter-echo state network method for time series prediction of the network traffic data with noises.

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Title: An improved fruit fly algorithm-unscented Kalman filter-echo state network method for time series prediction of the network traffic data with noises.
Authors: Han, Ying1, Jing, Yuanwei1, jingyuanwei@ise.neu.edu.cn, Dimirovski, Georgi M2,3
Source: Transactions of the Institute of Measurement & Control; Apr2020, Vol. 42 Issue 7, p1281-1293, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 142720352
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An improved fruit fly algorithm-unscented Kalman filter-echo state network method for time series prediction of the network traffic data with noises.
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  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+Institute+of+Measurement+%26+Control%22">Transactions of the Institute of Measurement & Control</searchLink>; Apr2020, Vol. 42 Issue 7, p1281-1293, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=142720352
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/0142331219888366
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1281
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      – TitleFull: An improved fruit fly algorithm-unscented Kalman filter-echo state network method for time series prediction of the network traffic data with noises.
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            NameFull: Han, Ying
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            NameFull: Jing, Yuanwei
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            NameFull: Dimirovski, Georgi M
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            – D: 15
              M: 04
              Text: Apr2020
              Type: published
              Y: 2020
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              Value: 42
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              Value: 7
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            – TitleFull: Transactions of the Institute of Measurement & Control
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