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{{Infobox software
| name = Open Neural Networks Library
| title = OpenNN
| logo =
| screenshot =
| caption =
| developer = [http://www.artelnics.com Artelnics]
| operating system = [[跨平臺]]
| platform =
| genre = [[神经网络]]
| license = [[LGPL]]
| website = {{URL|http://www.opennn.net}}
}}
'''OpenNN（Open Neural Networks Library'''）是一個使用[[C++]]程式語言編寫的[[函式庫]]，實現了神經網絡，這是[[深度学习|深度學習]]研究的主要領域之一<ref>{{cite web|url=http://www.kdnuggets.com/2014/06/opennn-open-source-library-neural-networks.html|title=OpenNN, An Open Source Library For Neural Networks|publisher=KDNuggets|date=June 2014|access-date=2024-06-02|archive-date=2019-02-24|archive-url=https://web.archive.org/web/20190224034200/https://www.kdnuggets.com/2014/06/opennn-open-source-library-neural-networks.html|dead-url=no}}</ref>。它是一个[[开源软件|開源]]庫，遵循[[GNU宽通用公共许可证]]（LGPL）。

== 特点 ==
該軟件實現了任意數量的非線性處理單元層，用於[[监督学习|監督學習]]。這種深層架構允許設計具有[[通用近似定理|通用逼近]]特性的神經網絡。此外，它通過[[OpenMP]]進行多處理編程，以提高计算性能。

OpenNN包含作为一组函数的机器学习算法。這些函數可以通過[[应用程序接口|應用程序介面]]嵌入到其他軟件工具中，以實現[[预测分析|預測分析]]任務的集成尽管缺乏图形用户界面，但某些功能可以通过特定的可视化工具得到支持。<ref>{{cite journal | url = https://www.academia.edu/6491835 | title = Categorization of Data Mining Tools Based on Their Types | author = J. Mary Dallfin Bruxella | journal = International Journal of Computer Science and Mobile Computing | volume = 3 | issue = 3 | pages = 445–452 | year = 2014 | display-authors = etal | access-date = 2024-06-02 | archive-date = 2024-08-10 | archive-url = https://web.archive.org/web/20240810013901/https://www.academia.edu/6491835 | dead-url = no }}</ref>

== 歷史 ==
這項專案開發始於2003年，由欧盟资助的名为RAMFLOOD（洪水风险评估与管理）的研究项目在国际数值方法研究中心启动<ref>{{cite web |url=http://cordis.europa.eu/projects/rcn/67049_en.html |title=CORDIS - EU Research Project RAMFLOOD |publisher=European Commission |date=December 2004 |access-date=2024-06-02 |archive-date=2014-03-14 |archive-url=https://web.archive.org/web/20140314191941/http://cordis.europa.eu/projects/rcn/67049_en.html |dead-url=yes }}</ref>。隨後作為類似項目的一部分，开发工作得以继续。目前，OpenNN由Artelnics公司开发和维护<ref>{{cite web | url=http://www.artelnics.com/ | title=Artelnics home page | access-date=2024-06-02 | archive-date=2015-07-12 | archive-url=https://web.archive.org/web/20150712003508/http://www.artelnics.com/ | dead-url=no }}</ref>。

== 應用 ==
OpenNN是一個通用的[[人工智能|人工智慧]]軟件包<ref>{{cite web|url=http://www.efytimes.com/e1/fullnews.asp?edid=142005|title=Here Are 7 Thought-Provoking AI Software Packages For Your Info|publisher=Saurabh Singh|access-date=25 June 2014|archive-url=https://web.archive.org/web/20140627090333/http://efytimes.com/e1/fullnews.asp?edid=142005|archive-date=2014-06-27|url-status=dead}}</ref>。它使用[[机器学习|機器學習]]技術來解決各個領域中的[[预测分析|預測分析]]任務。例如，該庫已應用於工程、能源和化學等行業<ref>{{cite journal| title = Neural Networks for Variational Problems in Engineering| author = R. Lopez| journal = International Journal for Numerical Methods in Engineering| volume = 75| issue = 11| pages = 1341–1360| year = 2008| doi = 10.1002/nme.2304| display-authors = etal| bibcode = 2008IJNME..75.1341L| s2cid = 120913929| url = https://www.scipedia.com/public/Lopez_et_al_2008a| hdl = 10261/310317| hdl-access = free| access-date = 2024-06-02| archive-date = 2024-06-23| archive-url = https://web.archive.org/web/20240623074601/https://www.scipedia.com/public/Lopez_et_al_2008a| dead-url = no}}</ref><ref>{{cite book | chapter=Optimisation of Concentrating Solar Thermal Power Plants with Neural Networks | author = P. Richter| series = Lecture Notes in Computer Science | title = Adaptive and Natural Computing Algorithms | volume = 6593 | pages = 190–199 | year = 2011 | doi=10.1007/978-3-642-20282-7_20|display-authors=etal|isbn = 978-3-642-20281-0}}</ref><ref>{{cite journal | title = Artificial Neural Network Prediction of Multilinear Gradient Retention in Reversed-Phase HPLC | journal = Analytical and Bioanalytical Chemistry | author= A.A. D’Archivio| pages = 1–10 | year= 2014 | doi=10.1007/s00216-014-8317-3 | pmid = 25395205 | volume=407|issue = 4| s2cid = 40461902 |display-authors=etal}}</ref>。

==参考文献==
{{reflist}}

[[Category:C++函式庫]]
[[Category:用C++編程的自由軟體]]
[[Category:使用LGPL许可证的软件]]
[[Category:深度学习]]
[[Category:开源人工智能]]
[[Category:神經網路軟體]]

OpenNN - 版本历史

imported>JimGrassroot：​使用HotCat已移除Category:人工智能; 已添加Category:开源人工智能

imported>JimGrassroot：使用HotCat已移除Category:人工智能; 已添加Category:开源人工智能