Geodesic
Various-valued logic functions and neural networks
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 73-77

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In this paper we propose a method for representing various-valued logic function as a logical neural network. This logical neural network will allow to preserve the totality of cause-and-effect relationships identified using various-valued logic functions within a given specified area. Thus, it becomes possible to transfer a logical algorithm to detect hidden patterns in a given specified area, in case when the values of logical variables are not well-defined but are values obscured between zero and one. These logic operations are implemented by special logic neural cells: conjunctors and disjunctors.
Keywords: predicate, predicate value, various-valued logical function, logical neural network, fuzzy logic variable. 
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     author = {D. P. Dimitrichenko},
     title = {Various-valued logic functions and neural networks},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {73--77},
     publisher = {mathdoc},
     number = {6-2},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a10/}
}
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D. P. Dimitrichenko. Various-valued logic functions and neural networks. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 73-77. http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a10/