Neural network C++ library: programming, development, integration

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Neural network C++ library		Enhance your software
	Alyuda NeuroFusion is a general-purpose neural networks library that can be used to create, train and apply constructive neural networks for solving both regression and classification problems.		Artificial Intelligence provides the key functionality that enhances customer satisfaction, allows your software to outdistance the competition and distinguishes it from other similar products.
Save development time
	All theoretical information is hidden inside the library. You do not have to do any tweaking using different training parameters or experiment with different architectures, activation functions, stopping conditions, and so on. Your development time is reduced significantly due to the fact that you have to deal with a minimum set of functions.

NeuroFusion library has 2 editions. The classic edition is written in ANSI C++ and compiled with Visual C++ 6.0. It can be used with any development environment that supports Windows DLLs. The .NET eddition is written in C# and compiled using Visual Studio 7.1. It can be used with any development environment that supports .NET technology.

NeuroFusion is not an old-fashioned back-propagation. This is a set of state-of-the-art constructive neural networks, combined with proprietary Alyuda algorithms for automatic data preprocessing, network design and training. These algorithms and heuristics are the result of years of research. They are successfully used in our products and have proven to be efficient for a number of real-world applications.

The library does not require any knowledge in neural networks or statistics. You just need to feed your data, call the training function and read the results. NeuroFusion makes all the mathematical calculations automatically. It preprocesses and partitions your data, initializes neural networks and even intelligently selects the stopping conditions and controls the generalization loss to provide you with the best solution neural networks can produce.

If you have some knowledge in neural networks, you can control the training process using real-time training statistics, modifying the stopping conditions, and specifying the data partition parameters. We offer free technical support so you can easily get help and save your time.

Unlike with other libraries, you can easily explore the functionality and performance of NeuroFusion due to a similar DLL used in Alyuda Forecaster XL. You can download a free 30-day trial version of Forecaster XL and test the results you receive from NeuroFusion on your data. You can also request a library description, containing a help file and examples.

In other words, with Alyuda NeuroFusion, neural networks' integration has never been easier!


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