NeurophStudio is developed as a Java-based neural network framework which can be used to simulate common neural network architectures.
It comes with a small number of basic classes which correspond to basic NN concepts.
NeurophStudio can be used by neural networks novices that just want to see how a neural network works. The program can also help you with your research project.
- NN architecture support:
- Multi Layer Perceptron
- NFR (Neuro Fuzzy Reasoner)
- Main changes include:
- Performance improvements about 30% thanks to use of plain arrays instead of ArrayList collection for storing layers, neurons and connections
- Listing of supported input functions, transfer functions, learning rues, neuron and layer classes using API – through Neuroph class
- New class DataSet which replace old TrainingSet class (beside naming change which now prevents confusion with Test and Validation sets, there are some implementation changes and same class is used for storing supervised and unsupervised data sets)