NeuroBox - Demos Logic Operator Training Demo The Logic Operators Training Demo shows the NeuroBox training behaviour of the 16 boolean logic functions, in particular the strong influence of the newly introduced bias neurons as well as the input- and training vector scaling. The Logic Operator Training Demo is based on a project by Leopold Rehberger. Pattern Matching Demo The Pattern Matching Demo shows how to work with the pattern matching building block and demonstrates a possible simple solution for pattern matching applications. You may adjust any network parameter as you like, and propagate beside of the default patterns also your own patterns by altering the input matrix directly with your mouse cursor. In addition to the auto training you may also use the train button to train your individual patterns. The button on the bottom, Show Network, allows you do graphically render the network structure. The Pattern Matching Demo is based on a project by Tobias Finazzi, the graphical network diagram utilises the Netron library by Francois Vanderseypen. Simple Training Demo Last but not least, the Simple Training Demo demonstrates in small examples how to use some of the techniques of NeuroBox like the bound- and unbound scenarios, the manual construction and manupilation of network structures and how to use the building blocks Database Neural Network Utility The Database Neural Network Utility by Matt Jallo allows you to import a database full of input and output data to train into a neural network. DANNU has its own SourceForge Workspace, so it's not integrated into the NeuroBox tree. You'll find more information on the DANNU Website.

NeuroBox :. Overview :. Download :. FAQ :. Features :. Documentation :. Demos :. Links :. License Extract :. Logic Operators :. Pattern Matchning :. Simple Training :. DANNU Weblog :. NeuroBox Project News Contact :. contact form SourceForge Workspace Did you write a small (test-) application for NeuroBox that may also be useful for others? I'd be happy to publish it here. Of course, contributions to the NeuroBox itself are always welcome, too. Thanks for your cooperation.