Neuroph 2.2 (LGPL)

Neuroph is lightweight Java neural network framework which can be used to simulate common neural network architectures, It has fast learning curve with small number of basic classes which correspond to basic NN concepts.If you are beginner with neural networks, you just want to try how they work without going into complicated theory and implementation, or you need them for your research project the Neuroph is for you. Neuroph supports the following NN architectures:AdalinePerceptronMulti Layer PerceptronHopfieldKohonenNFR (Neuro Fuzzy Reasoner)Neuroph is a small, well documented, easy to use, but very flexible neural network framework. Requirements:

· Java
What's New in This Release: [ read full changelog ]

This release brings the following features:
· momentum for backpropagation (makes the learning more than two times faster)
· xml support for neural networks and training sets
· import training set from files (txt, csv...)
· network error graph for LMS based learning rules
· Instar, Outstar, BAM neural networks and learning rules
· basic help system
· sample image recognition application