Opennn

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OpenNN

http://www.intelnics.com/opennn
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.





Licensing

License

Verified by

Verified on

Notes

License

LGPLv3

Verified by

Calinou

Verified on

25 November 2014

Notes

License is written in a PDF file included in the download.




Leaders and contributors

Contact(s)Role
Roberto Lopez Author


Resources and communication

AudienceResource typeURI
DeveloperDownloadhttp://sourceforge.net/projects/opennn/files/latest/download?source=directory


Software prerequisites




Entry








"Author" is not in the list (Maintainer, Contributor, Developer, Sponsor, Unknown) of allowed values for the "Role" property.










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The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.