Difference between revisions of "Opennn"
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{{Entry | {{Entry | ||
|Name=OpenNN | |Name=OpenNN | ||
| − | |Short description= | + | |Short description=Class library written in C++ which implements neural networks |
| − | |Full description=OpenNN is | + | |Full description='''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. | 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. | ||
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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). | 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. | + | OpenNN is being developed by Intelnics, a company specialized in the development and application of neural networks. |
| − | |||
|Homepage URL=http://www.intelnics.com/opennn | |Homepage URL=http://www.intelnics.com/opennn | ||
| + | |User level=advanced | ||
|Computer languages=C++ | |Computer languages=C++ | ||
| − | |Documentation note=http://www.intelnics.com/opennn/documentation | + | |Documentation note=[http://www.intelnics.com/opennn/documentation Documentation] |
|Keywords=data mining, predictive analytics, big data, machine learning, neural networks | |Keywords=data mining, predictive analytics, big data, machine learning, neural networks | ||
|Version identifier=1.0 | |Version identifier=1.0 | ||
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|Version status=stable | |Version status=stable | ||
|Version download=http://sourceforge.net/projects/opennn/files/latest/download?source=directory | |Version download=http://sourceforge.net/projects/opennn/files/latest/download?source=directory | ||
| + | |Last review by=Calinou | ||
| + | |Last review date=2014/11/25 | ||
|Submitted by=Sergio Sanchez | |Submitted by=Sergio Sanchez | ||
|Submitted date=2014/11/24 | |Submitted date=2014/11/24 | ||
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{{Project license | {{Project license | ||
|License=LGPLv3 | |License=LGPLv3 | ||
| + | |License verified by=Calinou | ||
| + | |License verified date=2014/11/25 | ||
| + | |License note=License is written in a PDF file included in the download. | ||
}} | }} | ||
{{Person | {{Person | ||
Latest revision as of 13:03, 25 November 2014
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
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
| Audience | Resource type | URI |
|---|---|---|
| Developer | Download | http://sourceforge.net/projects/opennn/files/latest/download?source=directory |
Software prerequisites
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”.
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.