On a certain learning algorithm for logical neural networks
Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory, Proceedings of the IV International Scientific Conference "Actual Problems of Applied Mathematics". Kabardino-Balkar Republic, Nalchik, Elbrus Region, May 22–26, 2018. Part II, Tome 166 (2019), pp. 3-9.

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In this paper, we propose an algorithm for constructing variable-valued logical functions in the case of adding new production rules. The algorithm proposed serves as the basis for the method of constructive learning for logical neural networks based on variable-valued predicates.
Keywords: variable-valued predicate, variable-valued logical function, learning sample, logical neural network, constructive learning algorithm.
Mots-clés : production rule
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D. P. Dimitrichenko. On a certain learning algorithm for logical neural networks. Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory, Proceedings of the IV International Scientific Conference "Actual Problems of Applied Mathematics". Kabardino-Balkar Republic, Nalchik, Elbrus Region, May 22–26, 2018. Part II, Tome 166 (2019), pp. 3-9. http://geodesic.mathdoc.fr/item/INTO_2019_166_a0/

[1] Barskii A. B., Logicheskie neironnye seti, Internet-universitet informatsionnykh tekhnologii, 2007

[2] Dimitrichenko D. P., “Ispolzovanie neironnykh setei dlya povysheniya effektivnosti peremennoznachnykh logicheskikh funktsii”, Vestn. IrGTU., 10:105 (2015), 12–16

[3] Dimitrichenko D. P., “Primenenie peremennoznachnykh logicheskikh funktsii i neironnykh setei v sistemakh prinyatiya reshenii”, Vestn. KRAUNTs. Fiz.-mat. nauki., 4-1:16 (2016), 93–100 | MR | Zbl

[4] Lyutikova L. A., Modelirovanie i minimizatsiya baz znanii v terminakh mnogoznachnoi logiki predikatov, preprint, Nalchik, 2006

[5] Khaikin S., Neironnye seti: polnyi kurs, 2, Izdatelskii dom Vilyams, Moskva, 2008

[6] Shibzukhov Z. M., Konstruktivnye metody obucheniya neironnykh setei, Nauka, M., 2006 | MR