Alyuda NeuroFusion is a general-purpose neural networks library written in ANSI C++ and compiled with Visual C++ 6.0. With this library you can create, train and apply constructive neural networks for both regression and classification problems.
All theoretical information is hidden inside the library. You do not have to tweak with training parameters and experiment with different architectures, activation functions, stopping conditions, etc. Your development time is reduced significantly due to the fact that you have to deal with a minimum set of functions.
NeuroFusion is not an old-fashioned back-propagation. These are state-of-the-art constructive neural networks combined with proprietary Alyuda algorithms of automatic data preprocessing, network design and training.
