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