Arab American University

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  • White Papers // Jan 2010

    Input Variable Selection Using Parallel Processing of RBF Neural Networks

    In this paper the authors propose a new technique focused on the selection of the important input variable for modeling complex systems of function approximation problems, in order to avoid the exponential increase in the complexity of the system that is usual when dealing with many input variables. The proposed...

    Provided By Arab American University

  • White Papers // Jan 2010

    Input Variable Selection Using Parallel Processing of RBF Neural Networks

    In this paper the authors propose a new technique focused on the selection of the important input variable for modeling complex systems of function approximation problems, in order to avoid the exponential increase in the complexity of the system that is usual when dealing with many input variables. The proposed...

    Provided By Arab American University