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... network flow and other graph algorithms. A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. In general, emphasis is given in improving the efficiency of the algorithms in shared-memory models via java threads, since multi-core machines are so wide-spread today.
3-layer neuralnetwork for regression and classification with sigmoid activation function and command line interface similar to LibSVM.
Quick Start: "java -jar nen.jar"
ANNJ, Another NeuralNetwork for Java is a neuralnetwork framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
This is an implementation of the Granular NeuralNetwork architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
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Java Kohonen NeuralNetwork Library
Kohonen neuralnetwork library is a set of classes and functions for design, train and use Kohonen network (self organizing map).
Lightweight backpropagation neuralnetwork in C++. The project provides a class implementing a feedforward neuralnetwork, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
A java based neuralnetwork 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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