Search Results for "artificial intelligence java source code" - Page 2

Showing 33 open source projects for "artificial intelligence java source code"

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    Automated RMM Tools | RMM Software

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    eProcurement Software

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  • 1
    Java Kohonen Neural Network Library Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map).
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  • 2
    NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
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  • 3
    Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
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  • 4
    nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
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    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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  • 5
    JSP taglibrary used to integrate the Java Expert System Shell (Jess) into Java JSP pages.
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  • 6
    A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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  • 7

    uealib

    Evolutionary algorithms library

    Фреймворк для работы с эволюционными алгоритмами, разрабатывается в Уральском государственном университете.
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  • 8
    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.
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