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An Adaptable Neural-Network Model for Recursive Nonlinear Traffic Prediction and Modeling of MPEG Video Sources.

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Bibliographic Details
Title: An Adaptable Neural-Network Model for Recursive Nonlinear Traffic Prediction and Modeling of MPEG Video Sources.
Authors: Doulamis, Anastasios D., Doulamis, Nikolaos D., Kollias, Stefanos D.
Source: IEEE Transactions on Neural Networks; January 2003, Vol. 14 Issue 1, p150-166, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 500977802
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An Adaptable Neural-Network Model for Recursive Nonlinear Traffic Prediction and Modeling of MPEG Video Sources.
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    Identifiers:
      – Type: doi
        Value: 10.1109/TNN.2002.806645
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 150
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      – TitleFull: An Adaptable Neural-Network Model for Recursive Nonlinear Traffic Prediction and Modeling of MPEG Video Sources.
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            NameFull: Doulamis, Anastasios D.
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            NameFull: Doulamis, Nikolaos D.
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            NameFull: Kollias, Stefanos D.
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              Text: January 2003
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              Y: 2003
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            – TitleFull: IEEE Transactions on Neural Networks
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