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  • This article is focused on analysis of the existing possibilities of Standard Statistical Methods and Artificial Intelligence Methods utilization for a short-term forecast and simulation of Demand in the field of Telecommunications. The most wide-spread are methods based upon the Time Series Analysis. Nowdays the approaches grounded upon the Artificial Intelligence Methods including Neural Networks are being dynamically booming. The separate approaches will be used within the research study for the Demand modelling in Telecommunications and the results of these models will be compared with actual guaranteed values. Then will be examined the Neural Networks utilization with respect to a model quality.
  • This article is focused on analysis of the existing possibilities of Standard Statistical Methods and Artificial Intelligence Methods utilization for a short-term forecast and simulation of Demand in the field of Telecommunications. The most wide-spread are methods based upon the Time Series Analysis. Nowdays the approaches grounded upon the Artificial Intelligence Methods including Neural Networks are being dynamically booming. The separate approaches will be used within the research study for the Demand modelling in Telecommunications and the results of these models will be compared with actual guaranteed values. Then will be examined the Neural Networks utilization with respect to a model quality. (en)
Title
  • Demand Modelling in Telecommunications, Comparison of Statistical methods and Approaches based upon Artifical Intelligence Methods including Neural Networks
  • Demand Modelling in Telecommunications, Comparison of Statistical methods and Approaches based upon Artifical Intelligence Methods including Neural Networks (en)
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  • Demand Modelling in Telecommunications, Comparison of Statistical methods and Approaches based upon Artifical Intelligence Methods including Neural Networks
  • Demand Modelling in Telecommunications, Comparison of Statistical methods and Approaches based upon Artifical Intelligence Methods including Neural Networks (en)
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  • RIV/68407700:21230/09:00158016!RIV10-MSM-21230___
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  • RIV/68407700:21230/09:00158016
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  • modelling; telecommunications (en)
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  • CZ - Česká republika
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  • [5AC465483020]
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  • Acta Polytechnica
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  • 49
http://linked.open...iv/tvurceVysledku
  • Chvalina, Martin
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  • 1210-2709
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  • 21230
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