FamousWhy Editor: Neuroph is a small but extremely powerful application with a large area of application. It is a Java based neural network framework able to develop complex neural network architectures. Neuroph can be used in medicine, labs and even at home (by those who are interested in this domain).
No special knowledge are required as Neuroph is extremely intuitive and it comes with a well designed and professional interface. On top of that, the basic package includes a video tutorial, learning visual samples and a short introductory tutorial. Neuroph also comes with a full documentation, multiple samples and a powerful image recognition tool and library.
Neuroph brings some interesting and useful features. Let's have a short look over the most important ones for a better understanding of what Neuroph can offer:
- Multi Layer Perceptron with Backpropagation
- Bidirectional Associative Memory
- Adaline and Perceptron
- Hopfield network, Kohonen network and Hebbian network
- Neuro Fuzzy Reasoner
- RBF network
- Instar and Outstar
- Small number of the essential base classes (only 10) which can be easily reused
- GUI tool for neural network development easy Neurons
- OCR support
- Stock market prediction sample
- An easy-to-follow structure and logic.
- Learning visualization samples
- Support for supervised and unsupervised learning rules
- Short introductory tutorial
- API documentation and UML class diagrams
As you can see, Neuroph is a highly complex and complete program. It incorporates multiple features and tools, a great looking interface and plenty of support by providing extensive video tutorials and multiple learning samples.
Why is Neuroph famous?
Neuroph is famous because it is a Java based neural network framework able to develop complex neural network architectures.
Neuroph 2.7 is a LGPL. Please read this article and discover
what exactly does LGPL mean.
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