Showing 6 open source projects for "network test"

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  • 1
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
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  • 2
    TuCSoN

    TuCSoN

    TuCSoN tuple-based coordination middleware

    TuCSoN (Tuple Centres Spread over the Network) is a tuple-based middleware for the coordination of distributed systems – including multi-agent systems, mobile agents and pervasive systems.
    Downloads: 0 This Week
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  • 3

    A Data Generator

    A tool to generate synthetic test data useful to Record matchers

    With growing amount of information from multiple sources it has become very hard to relate information to the correct real life entities. Record matching software try to solve this by machine learning techniques. To do this effectively, its necessary to train the record matcher with proper test data which is identical to real life data. Hence, there is a need for a data generator to create the synthetic data to be used for evaluating the quality and capability of record matching software....
    Downloads: 0 This Week
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  • 4
    "Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
    Downloads: 0 This Week
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  • 5
    Yawn: Yet Another W* Network: a java framework for developing, training and testing neural networks independently of the model and test environment.
    Downloads: 0 This Week
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  • 6
    videonetwork

    videonetwork

    A simulator for self-organizing video replication and more

    ...We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).
    Downloads: 0 This Week
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