JOONE: Difference between revisions
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{{Infobox_Software| |
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{{Infobox software |
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| name = Java Object Oriented Neural Engine |
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| logo = |
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| collapsible = yes |
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|license = Free, [[Open Source]] |
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| latest release version = 1.2.1 |
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|website = [http://www.jooneworld.com/ JOONE homepage] |
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| latest release date = {{release date|2005|09|08}} |
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| latest preview version = 2.0 RC1 |
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| latest preview date = {{release date|2007|01|19}} |
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| size = |
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| programming language = [[Java (programming language)|Java]] |
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| license = [[GPL]] or [[LGPL]] |
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'''JOONE''' (Java Object Oriented Neural Engine) is a component based [[neural network]] framework built in [[Java programming language|Java]]. |
'''JOONE''' (Java Object Oriented Neural Engine) is a component based [[neural network]] framework built in [[Java (programming language)|Java]]. |
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==Features== |
==Features== |
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==Comparison== |
==Comparison== |
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As of |
As of 2010, Joone, [[Encog]] and [[Neuroph]] are the major free component based neural network development environment available for the Java platform. Unlike the two other (commercial) systems that are in existence, [[Peltarion Synapse|Synapse]] and [[NeuroSolutions]], it is written in Java and has direct [[cross-platform]] support. A limited number of components exist and the graphical development environment is rudimentary so it has significantly fewer features than its commercial counterparts. |
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Joone can be considered to be more of a neural network framework than a full integrated development environment. Unlike its commercial counterparts, it has a strong focus on code-based development of neural networks rather than visual construction. |
Joone can be considered to be more of a neural network framework than a full integrated development environment. Unlike its commercial counterparts, it has a strong focus on code-based development of neural networks rather than visual construction. |
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While in theory Joone can be used to construct a wider array of [[adaptive systems]] (including those with non-adaptive elements), its focus is on backpropagation based neural networks. |
While in theory Joone can be used to construct a wider array of [[adaptive systems]] (including those with non-adaptive elements), its focus is on [[backpropagation]] based neural networks. |
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==See also== |
==See also== |
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{{Portal|Free and open-source software|Computer programming}} |
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* [[Artificial neural network]] |
* [[Artificial neural network]] |
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* [[Neural network software]] |
* [[Neural network software]] |
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* [[Encog]]: another [[neural network]] programmed in [[Java (programming language)|Java]] |
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==External links== |
==External links== |
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* [http://sourceforge.net/projects/joone/ sourceforge download page for joone] |
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* [http://www.jooneworld.com/ Joone homepage] |
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[[Category:Neural network software]] |
[[Category:Neural network software]] |
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[[Category:Free software programmed in Java (programming language)]] |
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Latest revision as of 09:05, 30 January 2022
Screenshot  Demonstration of drawing capability in JOONE | |
| Developer(s) | The Joone Team |
|---|---|
| Stable release | 1.2.1
/ September 8, 2005 |
| Preview release | 2.0 RC1
/ January 19, 2007 |
| Written in | Java |
| Operating system | Cross-platform |
| Type | Neural network software |
| License | GPL or LGPL |
JOONE (Java Object Oriented Neural Engine) is a component based neural network framework built in Java.
Features[edit]
Joone consists of a component-based architecture based on linkable components that can be extended to build new learning algorithms and neural networks architectures.
Components are plug-in code modules that are linked to produce an information flow. New components can be added and reused. Beyond simulation, Joone also has to some extent multi-platform deployment capabilities.
Joone has a GUI Editor to graphically create and test any neural network, and a distributed training environment that allows for neural networks to be trained on multiple remote machines.
Comparison[edit]
As of 2010, Joone, Encog and Neuroph are the major free component based neural network development environment available for the Java platform. Unlike the two other (commercial) systems that are in existence, Synapse and NeuroSolutions, it is written in Java and has direct cross-platform support. A limited number of components exist and the graphical development environment is rudimentary so it has significantly fewer features than its commercial counterparts.
Joone can be considered to be more of a neural network framework than a full integrated development environment. Unlike its commercial counterparts, it has a strong focus on code-based development of neural networks rather than visual construction.
While in theory Joone can be used to construct a wider array of adaptive systems (including those with non-adaptive elements), its focus is on backpropagation based neural networks.
See also[edit]
- Artificial neural network
- Neural network software
- Encog: another neural network programmed in Java