Customer Stories


NetState is based on an interpretation of the network as a special recurrent neural network consisting of ∑-Π-neurons . It is realized through the cooperation of a nonlinear recurrent neural network and an enhanced version of a linear recurrent error-propagation network. Because of the neural network structure, the model can easily be implemented on a multi-processor computer. The visualization of the dynamic network states is done in 3D by means of colored fluids that flow through glass cuboids.

Technical Used: Microsoft WPF & WCF, C++, OpenGL.