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Article type: Research Article
Authors: Garliauskas, Algis | Minkevičius, Saulius
Affiliations: Institute of Mathematics and Informatics, 2600 Vilnius, Akademijs St. 4, Lithuania
Abstract: A stochastic discrete neuronetwork is defined. In the investigation of discrete neuronetworks probability methods are applied – a weak convergence of probability measures. Limit theorems (the strong law of large number and normal law) are proved for the stream of signals, going out of neurons.
Keywords: neuronetworks, signal size, limit theorems
DOI: 10.3233/INF-1993-41-209
Journal: Informatica, vol. 4, no. 1-2, pp. 140-147, 1993
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