Neuroph
 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (April 2015) |
| Stable release | 2.94
/ June 20, 2017 |
|---|---|
| Written in | Java |
| Platform | Java platform |
| Available in | English |
| Type | Neural network |
| License | Apache License |
| Website | neuroph.sourceforge.net |
Neuroph is an object-oriented artificial neural network framework written in Java. It can be used to create and train neural networks in Java programs. Neuroph provides Java class library as well as GUI tool easyNeurons for creating and training neural networks.
It is an open source project hosted at SourceForge under the Apache License. Versions before 2.4 were licensed under LGPL 3, from this version the license is Apache 2.0 License.
Features
Neuroph's core classes correspond to basic neural network concepts like artificial neuron, neuron layer, neuron connections, weight, transfer function, input function, learning rule etc. Neuroph supports common neural network architectures such as Multilayer perceptron with Backpropagation, Kohonen and Hopfield networks. All these classes can be extended and customized to create custom neural networks and learning rules. Neuroph has built-in support for image recognition.
See also
References
External links
- Neuroph Homepage
- Online Demo
- Slashdot: Java Program Uses Neural Networks To Monitor Games
- Image recognition with Neuroph example
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