Features

Here is a partial list of some important features of the Neuroph framework:

Supported neural network architectures

• Adaline
• Perceptron
• Multi Layer Perceptron with Backpropagation, Momentum on Resilient Propagation
• Hopfield network
• Bidirectional Associative Memory
• Kohonen network
• Hebbian network
• Maxnet
• Competitive network
• Instar
• Outstar
• RBF network
• Neuro Fuzzy Reasoner

Other features

• Small number of the essential base classes in core package (only 10) which can be easily reused or extended
• Support for supervised and unsupervised learning rules
• An easy-to-follow structure and logic.
• Java & Neural Network IDE, Neuroph Studio, based on NetBeans Platform
• Image recognition support
• OCR support
• Stock market prediction sample
• Learning vizualisation samples
• Data normalization
• Simple microbenchmarking framework

Take a look at screenshots, and try it online