On a Certain Learning Algorithm for Logical Neural Networks

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.

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Bibliographic Details
Published inJournal of mathematical sciences (New York, N.Y.) Vol. 260; no. 2; pp. 157 - 162
Main Author Dimitrichenko, D. P.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.01.2022
Springer
Springer Nature B.V
Subjects
Algorithms
Analysis
Data mining
Machine learning
Mathematics
Mathematics and Statistics
Neural networks
variable-valued logical function
production rule
68T27
constructive learning algorithm
variable-valued predicate
learning sample
logical neural network
Online AccessGet full text
ISSN1072-3374
1573-8795
1573-8795
DOI10.1007/s10958-022-05680-8

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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1072-3374
1573-8795
1573-8795
DOI:10.1007/s10958-022-05680-8