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+SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural
+networks on Unix workstations developed at the Institute for Parallel and
+Distributed High Performance Systems (IPVR) at the University of Stuttgart. 
+The goal of the SNNS project is to create an efficient and flexible
+simulation environment for research on and application of neural nets.
+
+The SNNS simulator consists of two main components:
+
+1) simultor kernel written in C
+2) graphical user interface under X
+
+The simulator kernel operates on the internal network data structures of the
+neural nets and performs all operations of learning and recall. It can also
+be used without the other parts as a C program embedded in custom
+applications. It supports arbitrary network topologies and the concept of
+sites. SNNS can be extended by the user with user defined activation
+functions, output functions, site functions and learning procedures, which
+are written as simple C programs and linked to the simulator kernel.
+
+The graphical user interface XGUI (X Graphical User Interface), built on top
+of the kernel, gives a 2D and a 3D graphical representation of the neural
+networks and controls the kernel during the simulation run. In addition, the
+2D user interface has an integrated network editor which can be used to
+directly create, manipulate and visualize neural nets in various ways.