FENNIX
Fast Experimentation with Neural Networks
|
Overview
FENNIX is a simulator of artificial neural networks written in Java. It allows you to easily describe a complete simulation by using a simple text script language or by adding nodes to a tree of tasks by using the graphical user interface. You can for instance:
- Create a dataset by reading a file with observations.
- Create an artificial neural network.
- Find the parameters of the neural network by using different training procedures.
- Test the neural network by applying different measures of performance with different datasets.
- Visualize the results of the training and test phases.
- Export the results and the neural networks.
- Create loops to repeat some parts of the experiment, or use conditionals to control its execution.
Moreover, FENNIX is composed of pluggable tools that can be easily modified in order to add new functionalities to the simulator.
Last modification 10 April 2012
by Héctor Satizábal.