Synonyms were used for: Network modeling modeling
Search without synonyms: title: Network modeling 2006

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    Adaptation, modeling, and analysis of PIM-DM in a LEO satellite network environment

    Hubenko, P.V. / Raines, R.A. / Temple, M.A. et al. | IEEE | 2006
    multicasting protocols (PIM-DM, DVMRP, and ODMRP), adapted to a low Earth orbit satellite network. We provide a simplified overview of multicasting and ...

    Modeling of ship vertical motion with self-organizing radial basis function artificial neural network

    Xuejing Yang, / Xiren Zhao, | IEEE | 2006
    the experimental data, based on the self-organizing radial basis function neural network, an intelligent model of vertical motion which can ...

    Surface roughness modeling of high speed machining TC4 based on artificial neural network method

    Zhixin Liu, / Dawei Zhang, / Houjun Qi, | IEEE | 2006
    developed an artificial neural network (ANN) model for analysis and prediction of the relationship between roughness and machining parameters. The ...

    Problem formulation for optimal array modeling and planning

    Kar-Ming Cheung, / Lee, C.H. / Ho, J. | IEEE | 2006
    interrupting the signal tracking definitely enable new network operation concepts. Yet there are unique challenges to the modeling and planning of the ...

    Adaptive working schedule modeling for wireless sensor networks

    Tillapart, P. / Yeophantong, T. / Techachaicherdchoo, T. et al. | IEEE | 2006
    A wireless sensor network consists of a group of sensing devices with the capability to collect data and relay it to a centralised ...

    Modeling Depth Estimation Errors for Side Looking Stereo Video Systems

    Hopken, M. / Grinberg, M. / Willersinn, D. | IEEE | 2006
    network. A second goal of APROSYS is to provide tools for the efficient development of future products based on such a sensing system. If a stereo ...

    A bayesian network approach to traffic flow forecasting

    Shiliang Sun, / Changshui Zhang, / Guoqiang Yu, | IEEE | 2006
    comparisons with several other methods show that the Bayesian network is a very promising and effective approach for traffic flow modeling and ...