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Recent developments of the SNNS neural network simulator

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A neural network simulator for Unix workstations, SNNS, under development at the Universitat Stuttgart, Germany, is described. The network simulation environment is a tool to generate, train, test, and visualize artificial neural networks. The simulator consists of three major components: a simulator kernel that operates on the internal representation of the neural networks, a graphical user interface based on X-Windows to interactively construct and change small neural nets, and a compiler to generate the internal representation of large neural networks from a high-level network description language.


	author = {Zell, Andreas   and Mache, Niels   and Sommer, Tilman   and Korb, Thomas  },
	citeulike-article-id = {2716654},
	doi = {10.1117/12.45009},
	editor = {Rogers, Steven  K. },
	journal = {Applications of Artificial Neural Networks II},
	number = {1},
	pages = {708--718},
	posted-at = {2008-04-25 05:16:03},
	priority = {2},
	publisher = {SPIE},
	title = {Recent developments of the SNNS neural network simulator},
	url = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal\&id=PSISDG001469000001000708000001\&idtype=cvips\&gifs=yes},
	volume = {1469},
	year = {1991}