Geodesic
Application of the neural network approach
News of the Kabardin-Balkar scientific center of RAS, no. 6-1 (2017), pp. 15-20.

Voir la notice de l'article provenant de la source Math-Net.Ru

In this paper, we propose the use of logical neural networks for constructing cognitive maps. Cognitive maps are successfully used for data structuring. This allows to reduce the internal dimension of data, which contributes to the successful construction of information systems with a large number of parameters. Additional flexibility is provided by the use of various-valued logic functions as a basis for constructing logical neural net-works. A procedure for constructing cognitive maps using logical neural networks is proposed.
Keywords: predicate, the predicate atomicity, various-valued logical function logical neural network, fuzzy logic variable, cognitive map, cluster analysis, neural network training set, fuzzy sets. 
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D. P. Dimitrichenko; R. A. Zhilov. Application of the neural network approach. News of the Kabardin-Balkar scientific center of RAS, no. 6-1 (2017), pp. 15-20. http://geodesic.mathdoc.fr/item/IZKAB_2017_6-1_a2/

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