Showing 6 open source projects for "application"

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  • 1
    GatcomSUMO

    GatcomSUMO

    Automates the building of VANET simulations using SUMO and OMNeT++

    ...GatcomSUMO visualizes the network and routes easily, and they are created in such a way to meet the requirements of the involved simulators, in particular OMNeT++, in order to avoid misunderstandings and runtime errors. The application allows the conversion of the spatial coordinates used by SUMO into those used by OMNeT++, which is essential to place fixed elements like RSUs.
    Downloads: 0 This Week
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  • 2

    ns2-wimax-awg

    WIMAX Model for ns-2.36 implementing IEEE 802.16-2012 OFDMA.

    ...Louis (WUSTL). Last but not least we would like to the Application Working Group (AWG) of the WIMAX Forum for there support. This module is based on the network simulator ns-2.36 and implements the IEEE 802.16-2012 MAC layer based on WirelessMAN-OFDMA.
    Downloads: 0 This Week
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  • 3
    OSXtlearn

    OSXtlearn

    OSXtlearn: tlearn for MacOSX

    tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer.
    Downloads: 0 This Week
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  • 4

    NeuronalLab

    Backpropagation Network Simulator in C++

    This is a application for simula Neuronals Networks, now only support the Backpropagation Network. In the future maybe support ART, Adaline, Madaline, and other Neuronal Networks. Use gnuplot to draw the lms error.
    Downloads: 0 This Week
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  • 5
    The goal of the Narses project is to build a scalable, application-level network simulator that allows experimenters to use network models of varying degrees of accuracy and speed to efficiently simulate large distributed applications.
    Downloads: 0 This Week
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  • 6
    LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
    Downloads: 0 This Week
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