OpenNN

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OpenNN

OpenNN logo.png
Basic data

developer Artelnics
Publishing year 2003
Current  version 3.1
( February 10, 2017 )
operating system Platform independence
programming language C ++
category Artificial intelligence
License GNU LGPL
www.opennn.net

OpenNN ( Open N eural N etworks Library) is a program library written in C ++ that implements an artificial neural network . The library is open source , hosted at SourceForge and licensed under the GNU Lesser General Public License .

history

Development began in 2003 at the International Center for Numerical Methods in Engineering (CIMNE) at the Universitat Politècnica de Catalunya with RAMFLOOD , a research project funded by the European Union . OpenNN is currently being developed further by the start-up Artelnics . In 2014, Big Data Analytics Today recognized OpenNN as the project with the best implementation of an artificial intelligence. In the same year, ToppersWorld chose it as one of the top 5 open source data mining tools.

application

OpenNN implements data mining methods as a set of functions. These can be embedded in other software tools using a programming interface (API) between the software tool and the predictive analytics tasks . There is no graphical user interface , but some functions are included to support specific visualization programs.

OpenNN can be used for machine learning , data mining and predictive analytics tasks in various areas. The library is used in engineering, energy research, chemistry and other sectors.

See also

Individual evidence

  1. ↑ sourceforge.net .
  2. ↑ github.com . (accessed October 10, 2016).
  3. ↑ The opennn Open Source Project on Open Hub: Languages Page . In: Open Hub . (accessed on July 19, 2018).
  4. ^ OpenNN, An Open Source Library For Neural Networks . KDNuggets. June 2014.
  5. ↑ CORDIS - EU Research Project RAMFLOOD . European Commission. December 2004.
  6. ↑ Artelnics home page .
  7. ↑ Top 12 Brain Inspired Artificial Intelligence Projects . Big Data Analytics Today. October 2014.
  8. ↑ Top 5 Open Source Data Mining Tools . ToppersWorld. November 2014.
  9. ↑ J. Mary Dallfin Bruxella et al .: Categorization of Data Mining Tool Based on Their Types . In: International Journal of Computer Science and Mobile Computing . 3, No. 3, 2014, pp. 445–452.
  10. ^ R. Lopez et al .: Neural Networks for Variational Problems in Engineering . In: International Journal for Numerical Methods in Engineering . 75, No. 11, 2008, pp. 1341-1360. doi : 10.1002 / nme.2304 .
  11. ^ P. Richter et al .: Optimization of Concentrating Solar Thermal Power Plants with Neural Networks . In: Lecture Notes in Computer Science . 6593, 2011, pp. 190-199. doi : 10.1007 / 978-3-642-20282-7_20 .
  12. ↑ AA D'Archivio et al .: Artificial Neural Network Prediction of Multilinear Gradient Retention in Reversed-Phase HPLC . In: Analytical and Bioanalytical Chemistry . 2014, pp. 1–10. doi : 10.1007 / s00216-014-8317-3 .