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On a certain learning algorithm for logical neural networks
D. P. Dimitrichenko Institute of Applied Mathematics and Automation, Nalchik
Abstract:
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, production rule, logical neural network, constructive learning algorithm.
Citation:
D. P. Dimitrichenko, “On a certain learning algorithm for logical neural networks”, Proceedings of the IV International Scientific Conference "Actual Problems of Applied Mathematics". Kabardino-Balkar Republic, Nalchik, Elbrus Region, May 22–26, 2018. Part II, Itogi Nauki i Tekhniki. Sovrem. Mat. Pril. Temat. Obz., 166, VINITI, Moscow, 2019, 3–9
Linking options:
https://www.mathnet.ru/eng/into472 https://www.mathnet.ru/eng/into/v166/p3
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Abstract page: | 142 | Full-text PDF : | 176 | References: | 24 |
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