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Class library written in C++ which implements neural networks
OpenNN is a class library written in C++ which implements neural networks.
The library is intended for advanced users, with high C++ and machine learning skills. OpenNN provides an effective framework for the research and development of data mining and predictive analytics algorithms and applications.
OpenNN is based on the most popular neural network model, the multilayer perceptron. The package comes with unit testing, many examples and extensive documentation.
The library has been designed to learn from data sets. Some typical applications here are function regression (modelling), pattern recognition (classification) and time series prediction (forecasting).
OpenNN is being developed by Intelnics, a company specialized in the development and application of neural networks.
released on 21 May 2014
25 November 2014
License is written in a PDF file included in the download.
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This entry (in part or in whole) was last reviewed on 25 November 2014.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
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